diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index e6bbcd688..0bbe1c9f4 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -56,6 +56,14 @@ jobs:
docker build -t athena .
cd ..
+ - name: Build shared_llm image
+ id: set-image-shared
+ if: matrix.image == 'module_text_llm'
+ run: |
+ cd shared_llm
+ docker build -t shared_llm .
+ cd ..
+
- name: Docker Login
id: docker-login
run: |
diff --git a/assessment_module_manager/Dockerfile b/assessment_module_manager/Dockerfile
index 2e68fd209..de89687fc 100644
--- a/assessment_module_manager/Dockerfile
+++ b/assessment_module_manager/Dockerfile
@@ -26,10 +26,12 @@ RUN poetry config virtualenvs.create true \
COPY . ./
# Use modules configuration file for docker
-RUN mv ./modules.docker.ini ./modules.ini
+RUN cp ./modules.docker.ini ./modules.ini
+RUN rm ./modules.docker.ini
# Use deployments configuration file for docker
-RUN mv ./deployments.docker.ini ./deployments.ini
+RUN cp ./deployments.docker.ini ./deployments.ini
+RUN rm ./deployments.docker.ini
# poetry scripts don't work here
-CMD poetry run python -m assessment_module_manager
\ No newline at end of file
+CMD poetry run python -m assessment_module_manager
diff --git a/assessment_module_manager/assessment_module_manager/endpoints/health_endpoint.py b/assessment_module_manager/assessment_module_manager/endpoints/health_endpoint.py
index 85879b673..2b3b9e946 100644
--- a/assessment_module_manager/assessment_module_manager/endpoints/health_endpoint.py
+++ b/assessment_module_manager/assessment_module_manager/endpoints/health_endpoint.py
@@ -29,7 +29,7 @@ class HealthResponse(BaseModel):
and whether all the modules are healthy (i.e. reachable).
Additional information about the modules is also provided.
"""
- status: str = Field(const=True, default="ok", example="ok")
+ status: str = Field(Literal=True, default="ok", example="ok")
modules: dict = Field(
example=[
{
@@ -37,7 +37,8 @@ class HealthResponse(BaseModel):
"url": "http://localhost:5001",
"type": "programming",
"healthy": True,
- "supportsEvaluation": True
+ "supportsEvaluation": True,
+ "supportsNonGradedFeedbackRequests": True
}
}
]
@@ -58,7 +59,8 @@ async def get_health() -> HealthResponse:
"url": module.url,
"type": module.type,
"healthy": await is_healthy(module),
- "supportsEvaluation": module.supports_evaluation
+ "supportsEvaluation": module.supports_evaluation,
+ "supportsNonGradedFeedbackRequests": module.supports_non_graded_feedback_requests
}
for module in get_modules()
}
diff --git a/assessment_module_manager/assessment_module_manager/module/list_modules.py b/assessment_module_manager/assessment_module_manager/module/list_modules.py
index de4a4aa05..75911a38e 100644
--- a/assessment_module_manager/assessment_module_manager/module/list_modules.py
+++ b/assessment_module_manager/assessment_module_manager/module/list_modules.py
@@ -21,6 +21,7 @@ def list_modules() -> List[Module]:
url=cast(AnyHttpUrl, os.environ.get(f"{module.upper()}_URL", modules_config[module]["url"])),
type=ExerciseType(modules_config[module]["type"]),
supports_evaluation=modules_config[module].getboolean("supports_evaluation"),
+ supports_non_graded_feedback_requests=modules_config[module].getboolean("supports_non_graded_feedback_requests")
)
for module in modules_config.sections()
]
diff --git a/assessment_module_manager/assessment_module_manager/module/module.py b/assessment_module_manager/assessment_module_manager/module/module.py
index 65e99931f..8d0c4a366 100644
--- a/assessment_module_manager/assessment_module_manager/module/module.py
+++ b/assessment_module_manager/assessment_module_manager/module/module.py
@@ -9,3 +9,4 @@ class Module(BaseModel):
url: AnyHttpUrl = Field(example="http://localhost:5001")
type: ExerciseType = Field(example=ExerciseType.text)
supports_evaluation: bool = Field(description="Whether the module supports evaluation", example=True)
+ supports_non_graded_feedback_requests: bool = Field(description="Whether the module supports non-graded feedback requests", example=True)
diff --git a/assessment_module_manager/deployments.docker.ini b/assessment_module_manager/deployments.docker.ini
index 64f60b3ea..a8e105d8c 100644
--- a/assessment_module_manager/deployments.docker.ini
+++ b/assessment_module_manager/deployments.docker.ini
@@ -1,2 +1,8 @@
[schwind]
-url = https://ma-schwind.ase.cit.tum.de
\ No newline at end of file
+url = https://ma-schwind.ase.cit.tum.de
+
+[playground]
+url = https://athenetest1-03.ase.cit.tum.de
+
+[localhost]
+url = http://localhost:3000
diff --git a/assessment_module_manager/deployments.ini b/assessment_module_manager/deployments.ini
index 1c55f4614..05cca46bb 100644
--- a/assessment_module_manager/deployments.ini
+++ b/assessment_module_manager/deployments.ini
@@ -1,4 +1,7 @@
# for local development only
[local]
-url = http://localhost:8080
\ No newline at end of file
+url = http://localhost:8080
+
+[playground]
+url = http://localhost:3000
diff --git a/assessment_module_manager/modules.docker.ini b/assessment_module_manager/modules.docker.ini
index 9ed4fb1f5..1f9cda4f3 100644
--- a/assessment_module_manager/modules.docker.ini
+++ b/assessment_module_manager/modules.docker.ini
@@ -2,33 +2,40 @@
url = http://module-example:5001
type = programming
supports_evaluation = true
+supports_non_graded_feedback_requests = false
[module_programming_llm]
url = http://module-programming-llm:5002
type = programming
supports_evaluation = false
+supports_non_graded_feedback_requests = true
[module_text_llm]
url = http://module-text-llm:5003
type = text
supports_evaluation = true
+supports_non_graded_feedback_requests = false
[module_text_cofee]
url = http://module-text-cofee:5004
type = text
supports_evaluation = false
+supports_non_graded_feedback_requests = false
[module_programming_themisml]
url = http://module-programming-themisml:5005
type = programming
supports_evaluation = false
+supports_non_graded_feedback_requests = false
[module_programming_apted]
url = http://module-programming-apted:5006
type = programming
supports_evaluation = false
+supports_non_graded_feedback_requests = false
[module_modeling_llm]
url = http://module-modeling-llm:5008
type = modeling
supports_evaluation = false
+supports_non_graded_feedback_requests = false
\ No newline at end of file
diff --git a/assessment_module_manager/modules.ini b/assessment_module_manager/modules.ini
index f70986afc..7baf2e8e4 100644
--- a/assessment_module_manager/modules.ini
+++ b/assessment_module_manager/modules.ini
@@ -2,33 +2,40 @@
url = http://localhost:5001
type = programming
supports_evaluation = true
+supports_non_graded_feedback_requests = false
[module_programming_llm]
url = http://localhost:5002
type = programming
supports_evaluation = false
+supports_non_graded_feedback_requests = true
[module_text_llm]
url = http://localhost:5003
type = text
supports_evaluation = true
+supports_non_graded_feedback_requests = false
[module_text_cofee]
url = http://localhost:5004
type = text
supports_evaluation = false
+supports_non_graded_feedback_requests = false
[module_programming_themisml]
url = http://localhost:5005
type = programming
supports_evaluation = false
+supports_non_graded_feedback_requests = false
[module_programming_apted]
url = http://localhost:5006
type = programming
supports_evaluation = false
+supports_non_graded_feedback_requests = false
[module_modeling_llm]
url = http://localhost:5008
type = modeling
supports_evaluation = false
+supports_non_graded_feedback_requests = false
diff --git a/assessment_module_manager/poetry.lock b/assessment_module_manager/poetry.lock
index 1b59183d7..f46ca2be6 100644
--- a/assessment_module_manager/poetry.lock
+++ b/assessment_module_manager/poetry.lock
@@ -1,4 +1,113 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
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type = "directory"
url = "../athena"
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name = "certifi"
version = "2023.7.22"
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+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa9741085f635934f3a2583e16fcf62ba835719a8b2b28fb2917bb0537c1dfa"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:206a55215e6d05dbc6c98ce598a59e6fbd0c493e2de4ea6cc2f4934d5a18d130"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07574b007ee20e5c375a8fe4a0789fad26db905f9813be0f9fef5a68080de559"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5a2e2433eb9344a163aced6a5f6c9222c0786e5a9e9cac2c89f0b28433f56e23"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3"},
+ {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+ {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:604f31d97fa493083ea21bd9b92c419012531c4e17ea6da0f65cacdcf5d0bd27"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+ {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+ {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+ {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+ {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
[metadata]
lock-version = "2.0"
python-versions = "3.11.*"
-content-hash = "a616c4019f36b1c0aedf1a65cc551e141af66d4e2b689f8202210c2c944e2019"
+content-hash = "77491a1ec247ea63b149cfb56f0a6e7e30b2d96176d392e944af25943ae85951"
diff --git a/assessment_module_manager/pyproject.toml b/assessment_module_manager/pyproject.toml
index 786a9dbfe..a521dcc9c 100644
--- a/assessment_module_manager/pyproject.toml
+++ b/assessment_module_manager/pyproject.toml
@@ -11,6 +11,7 @@ athena = {path = "../athena", develop = true}
fastapi = "^0.109.1"
uvicorn = "^0.23.0"
httpx = "^0.24.1"
+langchain_community = "^0.2.0"
[tool.poetry.scripts]
assessment_module_manager = "assessment_module_manager.__main__:main"
diff --git a/athena/athena/endpoints.py b/athena/athena/endpoints.py
index 6d259a2a2..c1173074c 100644
--- a/athena/athena/endpoints.py
+++ b/athena/athena/endpoints.py
@@ -1,9 +1,14 @@
# type: ignore # too much weird behavior of mypy with decorators
import inspect
+from requests.auth import HTTPBasicAuth
+import json
from fastapi import Depends, BackgroundTasks, Body
-from pydantic import BaseModel, ValidationError
+from pydantic import ValidationError,BaseModel
from typing import TypeVar, Callable, List, Union, Any, Coroutine, Type
-
+import base64
+from langchain_community.llms import Ollama # type: ignore
+import os
+import requests
from athena.app import app
from athena.authenticate import authenticated
from athena.metadata import with_meta
@@ -156,7 +161,7 @@ class SubmissionSelectorRequest(BaseModel):
class Config:
# Allow camelCase field names in the API (converted to snake_case)
alias_generator = to_camel
- allow_population_by_field_name = True
+ populate_by_name = True
@app.post("/select_submission", responses=module_responses)
@authenticated
@@ -266,6 +271,8 @@ async def wrapper(
return wrapper
+
+
def feedback_provider(func: Union[
Callable[[E, S], List[F]],
Callable[[E, S], Coroutine[Any, Any, List[F]]],
@@ -304,7 +311,12 @@ def feedback_provider(func: Union[
submission_type = inspect.signature(func).parameters["submission"].annotation
module_config_type = inspect.signature(func).parameters["module_config"].annotation if "module_config" in inspect.signature(func).parameters else None
is_graded_type = inspect.signature(func).parameters["is_graded"].annotation if "is_graded" in inspect.signature(func).parameters else None
-
+ if is_graded_type:
+ is_graded_type = is_graded_type
+ else:
+ is_graded_type = bool # Default to a known type
+
+
@app.post("/feedback_suggestions", responses=module_responses)
@authenticated
@with_meta
@@ -333,13 +345,12 @@ async def wrapper(
feedbacks = await func(exercise, submission, **kwargs)
else:
feedbacks = func(exercise, submission, **kwargs)
-
+
# Store feedback suggestions and assign internal IDs
feedbacks = store_feedback_suggestions(feedbacks)
return feedbacks
return wrapper
-
-
+
def config_schema_provider(cls: Type[C]) -> Type[C]:
"""
Decorator for a class to provide an endpoint that returns the configuration class schema.
diff --git a/athena/athena/schemas/exercise.py b/athena/athena/schemas/exercise.py
index 1f173e2e3..ee85e05a5 100644
--- a/athena/athena/schemas/exercise.py
+++ b/athena/athena/schemas/exercise.py
@@ -29,4 +29,4 @@ class Exercise(Schema, ABC):
meta: dict = Field({}, example={"internal_id": "5"})
class Config:
- orm_mode = True
+ from_attributes = True
diff --git a/athena/athena/schemas/feedback.py b/athena/athena/schemas/feedback.py
index f4d7e48a7..85a6534a1 100644
--- a/athena/athena/schemas/feedback.py
+++ b/athena/athena/schemas/feedback.py
@@ -33,4 +33,4 @@ def to_model(self, is_suggestion: bool = False, lms_id: Optional[int] = None):
return type(self).get_model_class()(**self.dict(), is_suggestion=is_suggestion, lms_id=lms_id)
class Config:
- orm_mode = True
+ from_attributes = True
diff --git a/athena/athena/schemas/modeling_exercise.py b/athena/athena/schemas/modeling_exercise.py
index 70452f839..c3e34469a 100644
--- a/athena/athena/schemas/modeling_exercise.py
+++ b/athena/athena/schemas/modeling_exercise.py
@@ -8,6 +8,6 @@
class ModelingExercise(Exercise):
"""A modeling exercise that can be solved by students, enhanced with metadata."""
- type: ExerciseType = Field(ExerciseType.modeling, const=True)
+ type: ExerciseType = Field(ExerciseType.modeling, Literal=True)
example_solution: Optional[str] = Field(None, description="An example solution to the exercise.")
diff --git a/athena/athena/schemas/programming_exercise.py b/athena/athena/schemas/programming_exercise.py
index ac875b05d..e1233102a 100644
--- a/athena/athena/schemas/programming_exercise.py
+++ b/athena/athena/schemas/programming_exercise.py
@@ -10,7 +10,7 @@
class ProgrammingExercise(Exercise):
"""A programming exercise that can be solved by students, enhanced with metadata."""
- type: ExerciseType = Field(ExerciseType.programming, const=True)
+ type: ExerciseType = Field(ExerciseType.programming, Literal=True)
programming_language: str = Field(description="The programming language that is used for this exercise.", example="java")
solution_repository_uri: AnyUrl = Field(description="URL to the solution git repository, which contains the "
diff --git a/athena/athena/schemas/schema.py b/athena/athena/schemas/schema.py
index 67e146ada..b0e7e6b7f 100644
--- a/athena/athena/schemas/schema.py
+++ b/athena/athena/schemas/schema.py
@@ -32,4 +32,4 @@ def to_model(self):
class Config:
# Allow camelCase field names in the API (converted to snake_case)
alias_generator = to_camel
- allow_population_by_field_name = True
\ No newline at end of file
+ populate_by_name = True
\ No newline at end of file
diff --git a/athena/athena/schemas/submission.py b/athena/athena/schemas/submission.py
index f9e39c372..0bf684bdc 100644
--- a/athena/athena/schemas/submission.py
+++ b/athena/athena/schemas/submission.py
@@ -12,4 +12,4 @@ class Submission(Schema, ABC):
meta: dict = Field({}, example={})
class Config:
- orm_mode = True
+ from_attributes = True
diff --git a/athena/athena/schemas/text_exercise.py b/athena/athena/schemas/text_exercise.py
index 6c8367667..ac3861a70 100644
--- a/athena/athena/schemas/text_exercise.py
+++ b/athena/athena/schemas/text_exercise.py
@@ -8,6 +8,6 @@
class TextExercise(Exercise):
"""A text exercise that can be solved by students, enhanced with metadata."""
- type: ExerciseType = Field(ExerciseType.text, const=True)
+ type: ExerciseType = Field(ExerciseType.text, Literal=True)
example_solution: Optional[str] = Field(None, description="An example solution to the exercise.")
diff --git a/docker-compose.yml b/docker-compose.yml
index 77722f264..32f569328 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -8,6 +8,11 @@ services:
image: athena
command: echo "Athena build succeeded, exiting (this is normal)"
+ shared_llm:
+ build: ./shared_llm
+ image: shared_llm
+ command: echo "Shared_llm build succeeded, exiting (this is normal)"
+
assessment_module_manager:
build: ./assessment_module_manager
depends_on:
@@ -36,6 +41,7 @@ services:
build: ./module_text_llm
depends_on:
- athena
+ - shared_llm
ports:
- "5003:5003"
diff --git a/env_example/assessment_module_manager.env b/env_example/assessment_module_manager.env
index 0a2099acc..6182d37b8 100644
--- a/env_example/assessment_module_manager.env
+++ b/env_example/assessment_module_manager.env
@@ -12,4 +12,4 @@ MODULE_PROGRAMMING_THEMISML_SECRET=12345abcdef
# LMS Deployments #
################################################################
# the deployment name should correspond to the name in deployments.ini
-LMS_DEPLOYMENT_NAME_SECRET=12345abcdef
\ No newline at end of file
+LMS_DEPLOYMENT_NAME_SECRET=12345abcdef
diff --git a/module_modeling_llm/module_modeling_llm/__main__.py b/module_modeling_llm/module_modeling_llm/__main__.py
index d23b673d4..7e33cbf41 100644
--- a/module_modeling_llm/module_modeling_llm/__main__.py
+++ b/module_modeling_llm/module_modeling_llm/__main__.py
@@ -28,7 +28,7 @@ def process_incoming_feedback(exercise: Exercise, submission: Submission, feedba
@feedback_provider
-async def suggest_feedback(exercise: Exercise, submission: Submission, module_config: Configuration) -> List[Feedback]:
+async def suggest_feedback(exercise: Exercise, submission: Submission, is_graded: bool, module_config: Configuration) -> List[Feedback]:
logger.info("suggest_feedback: Suggestions for submission %d of exercise %d were requested", submission.id,
exercise.id)
return await generate_suggestions(exercise, submission, module_config.approach, module_config.debug)
diff --git a/module_programming_llm/module_programming_llm/generate_summary_by_file.py b/module_programming_llm/module_programming_llm/generate_summary_by_file.py
index a42315b34..144d750bf 100644
--- a/module_programming_llm/module_programming_llm/generate_summary_by_file.py
+++ b/module_programming_llm/module_programming_llm/generate_summary_by_file.py
@@ -91,7 +91,7 @@ async def generate_summary_by_file(
model=model,
system_message=config.generate_file_summary_prompt.system_message,
human_message=config.generate_file_summary_prompt.human_message,
- pydantic_object=FileDescription,
+ pydantic_object=SolutionSummary,
)
prompt_inputs = []
diff --git a/module_programming_llm/module_programming_llm/split_problem_statement_by_file.py b/module_programming_llm/module_programming_llm/split_problem_statement_by_file.py
index 86f841ee1..46cd64bbb 100644
--- a/module_programming_llm/module_programming_llm/split_problem_statement_by_file.py
+++ b/module_programming_llm/module_programming_llm/split_problem_statement_by_file.py
@@ -80,7 +80,7 @@ async def split_problem_statement_by_file(
"changed_files_from_template_to_submission": ", ".join(changed_files_from_template_to_submission)
}
- if "changed_files_from_template_to_solution" in prompt.input_variables:
+ if "changed_files_from_template_to_solution" in chat_prompt.input_variables:
solution_repo = exercise.get_solution_repository()
changed_files_from_template_to_solution = get_diff(
src_repo=template_repo,
diff --git a/module_programming_llm/poetry.lock b/module_programming_llm/poetry.lock
index 5a4016ec9..28375b7e6 100644
--- a/module_programming_llm/poetry.lock
+++ b/module_programming_llm/poetry.lock
@@ -2210,4 +2210,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = "3.11.*"
-content-hash = "93244b7fdfafdc95d776d56f4c8fb149d9e74905cc55998e902c17af7585ab2f"
+content-hash = "93244b7fdfafdc95d776d56f4c8fb149d9e74905cc55998e902c17af7585ab2f"
\ No newline at end of file
diff --git a/module_programming_llm/pyproject.toml b/module_programming_llm/pyproject.toml
index 0677a20e7..f2e1909b8 100644
--- a/module_programming_llm/pyproject.toml
+++ b/module_programming_llm/pyproject.toml
@@ -25,4 +25,4 @@ prospector = "^1.10.2"
[build-system]
requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
+build-backend = "poetry.core.masonry.api"
\ No newline at end of file
diff --git a/module_programming_themisml/module_programming_themisml/__main__.py b/module_programming_themisml/module_programming_themisml/__main__.py
index 466d63bce..04a8717c8 100644
--- a/module_programming_themisml/module_programming_themisml/__main__.py
+++ b/module_programming_themisml/module_programming_themisml/__main__.py
@@ -81,7 +81,7 @@ def process_incoming_feedback(exercise: Exercise, submission: Submission, feedba
@feedback_provider
-async def suggest_feedback(exercise: Exercise, submission: Submission) -> List[Feedback]:
+async def suggest_feedback(exercise: Exercise, submission: Submission, is_graded: bool = True) -> List[Feedback]:
logger.info("suggest_feedback: Suggestions for submission %d of exercise %d were requested", submission.id, exercise.id)
# ThemisML currently only works with Java
diff --git a/module_text_cofee/module_text_cofee/__main__.py b/module_text_cofee/module_text_cofee/__main__.py
index 436eac906..43a20e555 100644
--- a/module_text_cofee/module_text_cofee/__main__.py
+++ b/module_text_cofee/module_text_cofee/__main__.py
@@ -45,7 +45,7 @@ def process_incoming_feedback(exercise: Exercise, submission: Submission, feedba
@feedback_provider
-def suggest_feedback(exercise: Exercise, submission: Submission) -> List[Feedback]:
+def suggest_feedback(exercise: Exercise, submission: Submission, is_graded: bool = True) -> List[Feedback]:
logger.info(
"suggest_feedback: Suggestions for submission %d of exercise %d were requested",
submission.id, exercise.id
diff --git a/module_text_llm/.env.example b/module_text_llm/.env.example
index aedc5bdba..7b9db492e 100644
--- a/module_text_llm/.env.example
+++ b/module_text_llm/.env.example
@@ -40,4 +40,8 @@ REPLICATE_API_TOKEN=
# LANGCHAIN_TRACING_V2=true
# LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
# LANGCHAIN_API_KEY="XXX"
-# LANGCHAIN_PROJECT="XXX"
\ No newline at end of file
+# LANGCHAIN_PROJECT="XXX"
+
+# GPU_USER=bla
+# GPU_PASSWORD=bla
+# OLLAMA_ENDPOINT=bla
\ No newline at end of file
diff --git a/module_text_llm/Dockerfile b/module_text_llm/Dockerfile
index 48ad92d42..bbb684714 100644
--- a/module_text_llm/Dockerfile
+++ b/module_text_llm/Dockerfile
@@ -17,6 +17,8 @@ RUN pip install --no-cache-dir poetry==1.5.0
COPY pyproject.toml poetry.lock ./
# athena module (from the Dockerfile in the athena folder)
COPY --from=athena /code /athena
+COPY --from=shared_llm /code /shared_llm
+
# install dependencies
RUN poetry config virtualenvs.create true \
&& poetry config virtualenvs.in-project true \
diff --git a/module_text_llm/module_text_llm/__main__.py b/module_text_llm/module_text_llm/__main__.py
index 49d069635..ab3634bf4 100644
--- a/module_text_llm/module_text_llm/__main__.py
+++ b/module_text_llm/module_text_llm/__main__.py
@@ -5,15 +5,15 @@
import nltk
import tiktoken
-from athena import app, submission_selector, submissions_consumer, feedback_consumer, feedback_provider, evaluation_provider
-from athena.text import Exercise, Submission, Feedback
-from athena.logger import logger
+from athena import app, submission_selector, submissions_consumer, feedback_consumer, feedback_provider, evaluation_provider#type:ignore
+from athena.text import Exercise, Submission, Feedback#type:ignore
+from athena.logger import logger#type:ignore
from module_text_llm.config import Configuration
from module_text_llm.evaluation import get_feedback_statistics, get_llm_statistics
from module_text_llm.generate_suggestions import generate_suggestions
from module_text_llm.generate_evaluation import generate_evaluation
-
+# from module_text_llm.generate_ungraded_feedback import generate_ungraded_feedback
@submissions_consumer
def receive_submissions(exercise: Exercise, submissions: List[Submission]):
@@ -32,10 +32,15 @@ def process_incoming_feedback(exercise: Exercise, submission: Submission, feedba
@feedback_provider
-async def suggest_feedback(exercise: Exercise, submission: Submission, module_config: Configuration) -> List[Feedback]:
- logger.info("suggest_feedback: Suggestions for submission %d of exercise %d were requested", submission.id, exercise.id)
+async def suggest_feedback(exercise: Exercise, submission: Submission, is_graded: bool, module_config: Configuration) -> List[Feedback]:
+ logger.info("suggest_feedback: %s suggestions for submission %d of exercise %d were requested",
+ "Graded" if is_graded else "Non-graded", submission.id, exercise.id)
return await generate_suggestions(exercise, submission, module_config.approach, module_config.debug)
+# @ungraded_feedback_provider
+# async def ungraded_feedback(exercise: Exercise, submission: Submission, module_config: Configuration) -> List[Feedback]:
+# logger.info("ungraded_feedback: Suggestions for submission %d of exercise %d were requested", submission.id, exercise.id)
+# return await generate_ungraded_feedback(exercise, submission, module_config.approach, module_config.debug)
@evaluation_provider
async def evaluate_feedback(
diff --git a/module_text_llm/module_text_llm/config.py b/module_text_llm/module_text_llm/config.py
index 82d177eed..4db0a9c19 100644
--- a/module_text_llm/module_text_llm/config.py
+++ b/module_text_llm/module_text_llm/config.py
@@ -1,7 +1,9 @@
-from pydantic import BaseModel, Field
+from pydantic import Field, BaseModel
+from athena import config_schema_provider#type:ignore
+# TODO XXX XXX XXX XXX XXX XXX XXX
+from shared_llm.helpers.models import ModelConfigType, DefaultModelConfig#type:ignore
+# XXX XXX XXX XXX XXX XXX XXX XXX XXX
-from athena import config_schema_provider
-from module_text_llm.helpers.models import ModelConfigType, DefaultModelConfig
from module_text_llm.prompts.generate_suggestions import (
system_message as generate_suggestions_system_message,
human_message as generate_suggestions_human_message
diff --git a/module_text_llm/module_text_llm/generate_evaluation.py b/module_text_llm/module_text_llm/generate_evaluation.py
index 4c4a9969b..dcf9704c9 100644
--- a/module_text_llm/module_text_llm/generate_evaluation.py
+++ b/module_text_llm/module_text_llm/generate_evaluation.py
@@ -2,16 +2,16 @@
from pydantic import BaseModel, Field
import json
-from athena.text import Exercise, Submission, Feedback
-from athena.logger import logger
+from athena.text import Exercise, Submission, Feedback#type:ignore
+from athena.logger import logger#type:ignore
-from module_text_llm.helpers.models import evaluation_model
-from module_text_llm.helpers.llm_utils import (
+from shared_llm.helpers.models import evaluation_model#type:ignore
+from shared_llm.helpers.llm_utils import (#type:ignore
get_chat_prompt_with_formatting_instructions,
check_prompt_length_and_omit_features_if_necessary,
predict_and_parse
)
-from module_text_llm.helpers.utils import add_sentence_numbers, get_line_range_from_index_range
+from shared_llm.helpers.utils import add_sentence_numbers, get_line_range_from_index_range#type:ignore
from module_text_llm.prompts.generate_evaluation import system_message, human_message
diff --git a/module_text_llm/module_text_llm/generate_suggestions.py b/module_text_llm/module_text_llm/generate_suggestions.py
index d43563ad6..cd7eaec6f 100644
--- a/module_text_llm/module_text_llm/generate_suggestions.py
+++ b/module_text_llm/module_text_llm/generate_suggestions.py
@@ -1,18 +1,20 @@
from typing import List, Optional, Sequence
from pydantic import BaseModel, Field
-
-from athena import emit_meta
-from athena.text import Exercise, Submission, Feedback
-from athena.logger import logger
+from langchain_community.chat_models import ChatOllama # type: ignore
+import os
+import requests
+from athena import emit_meta#type:ignore
+from athena.text import Exercise, Submission, Feedback#type:ignore
+from athena.logger import logger#type:ignore
from module_text_llm.config import BasicApproachConfig
-from module_text_llm.helpers.llm_utils import (
+from shared_llm.helpers.llm_utils import (#type:ignore
get_chat_prompt_with_formatting_instructions,
check_prompt_length_and_omit_features_if_necessary,
num_tokens_from_prompt,
predict_and_parse
)
-from module_text_llm.helpers.utils import add_sentence_numbers, get_index_range_from_line_range, format_grading_instructions
+from shared_llm.helpers.utils import add_sentence_numbers, get_index_range_from_line_range, format_grading_instructions#type:ignore
class FeedbackModel(BaseModel):
title: str = Field(description="Very short title, i.e. feedback category or similar", example="Logic Error")
@@ -39,7 +41,6 @@ class Config:
async def generate_suggestions(exercise: Exercise, submission: Submission, config: BasicApproachConfig, debug: bool) -> List[Feedback]:
model = config.model.get_model() # type: ignore[attr-defined]
-
prompt_input = {
"max_points": exercise.max_points,
"bonus_points": exercise.bonus_points,
@@ -73,7 +74,18 @@ async def generate_suggestions(exercise: Exercise, submission: Submission, confi
emit_meta("prompt", chat_prompt.format(**prompt_input))
emit_meta("error", f"Input too long {num_tokens_from_prompt(chat_prompt, prompt_input)} > {config.max_input_tokens}")
return []
-
+
+ # if(isinstance(model,ChatOllama)):
+ # llm = ChatOllama(
+ # model = "llama3:70b",
+ # # system = system_message,
+ # base_url = os.environ["OLLAMA_ENDPOINT"],
+ # headers ={
+ # 'Authorization': requests.auth._basic_auth_str(os.environ["GPU_USER"],os.environ["GPU_PASSWORD"]) # type: ignore
+ # },
+ # )
+ # print(llm.invoke("tell me a joke"))
+ # else:
result = await predict_and_parse(
model=model,
chat_prompt=chat_prompt,
diff --git a/module_text_llm/module_text_llm/helpers/models/openai.py b/module_text_llm/module_text_llm/helpers/models/openai.py
deleted file mode 100644
index ab3044277..000000000
--- a/module_text_llm/module_text_llm/helpers/models/openai.py
+++ /dev/null
@@ -1,333 +0,0 @@
-import os
-from contextlib import contextmanager
-from typing import Any, Callable, Dict, List
-from pydantic import Field, validator, PositiveInt
-from enum import Enum
-
-import openai
-from langchain.chat_models import AzureChatOpenAI, ChatOpenAI
-from langchain.llms import AzureOpenAI, OpenAI
-from langchain.llms.openai import BaseOpenAI
-from langchain.base_language import BaseLanguageModel
-
-from athena.logger import logger
-from .model_config import ModelConfig
-
-
-OPENAI_PREFIX = "openai_"
-AZURE_OPENAI_PREFIX = "azure_openai_"
-
-
-#########################################################################
-# Monkey patching openai/langchain api #
-# ===================================================================== #
-# This allows us to have multiple api keys i.e. mixing #
-# openai and azure openai api keys so we can use not only deployed #
-# models but also models from the non-azure openai api. #
-# This is mostly for testing purposes, in production we can just deploy #
-# the models to azure that we want to use. #
-#########################################################################
-
-# Prevent LangChain error, we will set the key later
-os.environ["OPENAI_API_KEY"] = ""
-
-def _wrap(old: Any, new: Any) -> Callable:
- def repl(*args: Any, **kwargs: Any) -> Any:
- new(args[0]) # args[0] is self
- return old(*args, **kwargs)
- return repl
-
-
-def _async_wrap(old: Any, new: Any):
- async def repl(*args, **kwargs):
- new(args[0]) # args[0] is self
- return await old(*args, **kwargs)
- return repl
-
-
-def _set_credentials(self):
- openai.api_key = self.openai_api_key
-
- api_type = "open_ai"
- api_base = "https://api.openai.com/v1"
- api_version = None
- if hasattr(self, "openai_api_type"):
- api_type = self.openai_api_type
-
- if api_type == "azure":
- if hasattr(self, "openai_api_base"):
- api_base = self.openai_api_base
- if hasattr(self, "openai_api_version"):
- api_version = self.openai_api_version
-
- openai.api_type = api_type
- openai.api_base = api_base
- openai.api_version = api_version
-
-
-# Monkey patching langchain
-# pylint: disable=protected-access
-ChatOpenAI._generate = _wrap(ChatOpenAI._generate, _set_credentials) # type: ignore
-ChatOpenAI._agenerate = _async_wrap(ChatOpenAI._agenerate, _set_credentials) # type: ignore
-BaseOpenAI._generate = _wrap(BaseOpenAI._generate, _set_credentials) # type: ignore
-BaseOpenAI._agenerate = _async_wrap(BaseOpenAI._agenerate, _set_credentials) # type: ignore
-# pylint: enable=protected-access
-
-#########################################################################
-# Monkey patching end #
-#########################################################################
-
-
-def _use_azure_credentials():
- openai.api_type = "azure"
- openai.api_key = os.environ.get("LLM_AZURE_OPENAI_API_KEY")
- openai.api_base = os.environ.get("LLM_AZURE_OPENAI_API_BASE")
- # os.environ.get("LLM_AZURE_OPENAI_API_VERSION")
- openai.api_version = "2023-03-15-preview"
-
-
-def _use_openai_credentials():
- openai.api_type = "open_ai"
- openai.api_key = os.environ.get("LLM_OPENAI_API_KEY")
- openai.api_base = "https://api.openai.com/v1"
- openai.api_version = None
-
-
-openai_available = bool(os.environ.get("LLM_OPENAI_API_KEY"))
-azure_openai_available = bool(os.environ.get("LLM_AZURE_OPENAI_API_KEY"))
-
-
-# This is a hack to make sure that the openai api is set correctly
-# Right now it is overkill, but it will be useful when the api gets fixed and we no longer
-# hardcode the model names (i.e. OpenAI fixes their api)
-@contextmanager
-def _openai_client(use_azure_api: bool, is_preference: bool):
- """Set the openai client to use the correct api type, if available
-
- Args:
- use_azure_api (bool): If true, use the azure api, else use the openai api
- is_preference (bool): If true, it can fall back to the other api if the preferred one is not available
- """
- if use_azure_api:
- if azure_openai_available:
- _use_azure_credentials()
- elif is_preference and openai_available:
- _use_openai_credentials()
- elif is_preference:
- raise EnvironmentError(
- "No OpenAI api available, please set LLM_AZURE_OPENAI_API_KEY, LLM_AZURE_OPENAI_API_BASE and "
- "LLM_AZURE_OPENAI_API_VERSION environment variables or LLM_OPENAI_API_KEY environment variable"
- )
- else:
- raise EnvironmentError(
- "Azure OpenAI api not available, please set LLM_AZURE_OPENAI_API_KEY, LLM_AZURE_OPENAI_API_BASE and "
- "LLM_AZURE_OPENAI_API_VERSION environment variables"
- )
- else:
- if openai_available:
- _use_openai_credentials()
- elif is_preference and azure_openai_available:
- _use_azure_credentials()
- elif is_preference:
- raise EnvironmentError(
- "No OpenAI api available, please set LLM_OPENAI_API_KEY environment variable or LLM_AZURE_OPENAI_API_KEY, "
- "LLM_AZURE_OPENAI_API_BASE and LLM_AZURE_OPENAI_API_VERSION environment variables"
- )
- else:
- raise EnvironmentError(
- "OpenAI api not available, please set LLM_OPENAI_API_KEY environment variable"
- )
-
- # API client is setup correctly
- yield
-
-
-def _get_available_deployments(openai_models: Dict[str, List[str]], model_aliases: Dict[str, str]):
- available_deployments: Dict[str, Dict[str, Any]] = {
- "chat_completion": {},
- "completion": {},
- "fine_tuneing": {},
- }
-
- if azure_openai_available:
- with _openai_client(use_azure_api=True, is_preference=False):
- deployments = openai.Deployment.list().get("data") or [] # type: ignore
- for deployment in deployments:
- model_name = deployment.model
- if model_name in model_aliases:
- model_name = model_aliases[model_name]
- if model_name in openai_models["chat_completion"]:
- available_deployments["chat_completion"][deployment.id] = deployment
- elif model_name in openai_models["completion"]:
- available_deployments["completion"][deployment.id] = deployment
- elif model_name in openai_models["fine_tuneing"]:
- available_deployments["fine_tuneing"][deployment.id] = deployment
-
- return available_deployments
-
-
-def _get_available_models(openai_models: Dict[str, List[str]],
- available_deployments: Dict[str, Dict[str, Any]]):
- available_models: Dict[str, BaseLanguageModel] = {}
-
- if openai_available:
- openai_api_key = os.environ["LLM_OPENAI_API_KEY"]
- for model_name in openai_models["chat_completion"]:
- available_models[OPENAI_PREFIX + model_name] = ChatOpenAI(
- model=model_name,
- openai_api_key=openai_api_key,
- client="",
- temperature=0
- )
- for model_name in openai_models["completion"]:
- available_models[OPENAI_PREFIX + model_name] = OpenAI(
- model=model_name,
- openai_api_key=openai_api_key,
- client="",
- temperature=0
- )
-
- if azure_openai_available:
- azure_openai_api_key = os.environ["LLM_AZURE_OPENAI_API_KEY"]
- azure_openai_api_base = os.environ["LLM_AZURE_OPENAI_API_BASE"]
- azure_openai_api_version = os.environ["LLM_AZURE_OPENAI_API_VERSION"]
-
- for model_type, Model in [("chat_completion", AzureChatOpenAI), ("completion", AzureOpenAI)]:
- for deployment_name, deployment in available_deployments[model_type].items():
- available_models[AZURE_OPENAI_PREFIX + deployment_name] = Model(
- model=deployment.model,
- deployment_name=deployment_name,
- openai_api_base=azure_openai_api_base,
- openai_api_version=azure_openai_api_version,
- openai_api_key=azure_openai_api_key,
- client="",
- temperature=0
- )
-
- return available_models
-
-
-_model_aliases = {
- "gpt-35-turbo": "gpt-3.5-turbo",
-}
-
-# Hardcoded because openai can't provide a trustworthly api to get the list of models and capabilities...
-openai_models = {
- "chat_completion": [
- "gpt-4",
- # "gpt-4-32k", # Not publicly available
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-16k"
- ],
- "completion": [
- "text-davinci-003",
- "text-curie-001",
- "text-babbage-001",
- "text-ada-001",
- ],
- "fine_tuneing": [
- "davinci",
- "curie",
- "babbage",
- "ada",
- ]
-}
-available_deployments = _get_available_deployments(openai_models, _model_aliases)
-available_models = _get_available_models(openai_models, available_deployments)
-
-if available_models:
- logger.info("Available openai models: %s", ", ".join(available_models.keys()))
-
- OpenAIModel = Enum('OpenAIModel', {name: name for name in available_models}) # type: ignore
-
-
- default_model_name = "gpt-3.5-turbo"
- if "LLM_DEFAULT_MODEL" in os.environ and os.environ["LLM_DEFAULT_MODEL"] in available_models:
- default_model_name = os.environ["LLM_DEFAULT_MODEL"]
- if default_model_name not in available_models:
- default_model_name = list(available_models.keys())[0]
-
- default_openai_model = OpenAIModel[default_model_name]
-
-
- # Long descriptions will be displayed in the playground UI and are copied from the OpenAI docs
- class OpenAIModelConfig(ModelConfig):
- """OpenAI LLM configuration."""
-
- model_name: OpenAIModel = Field(default=default_openai_model, # type: ignore
- description="The name of the model to use.")
- max_tokens: PositiveInt = Field(1000, description="""\
-The maximum number of [tokens](https://platform.openai.com/tokenizer) to generate in the chat completion.
-
-The total length of input tokens and generated tokens is limited by the model's context length. \
-[Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens.\
-""")
-
- temperature: float = Field(default=0.0, ge=0, le=2, description="""\
-What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, \
-while lower values like 0.2 will make it more focused and deterministic.
-
-We generally recommend altering this or `top_p` but not both.\
-""")
-
- top_p: float = Field(default=1, ge=0, le=1, description="""\
-An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. \
-So 0.1 means only the tokens comprising the top 10% probability mass are considered.
-
-We generally recommend altering this or `temperature` but not both.\
-""")
-
- presence_penalty: float = Field(default=0, ge=-2, le=2, description="""\
-Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, \
-increasing the model's likelihood to talk about new topics.
-
-[See more information about frequency and presence penalties.](https://platform.openai.com/docs/api-reference/parameter-details)\
-""")
-
- frequency_penalty: float = Field(default=0, ge=-2, le=2, description="""\
-Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, \
-decreasing the model's likelihood to repeat the same line verbatim.
-
-[See more information about frequency and presence penalties.](https://platform.openai.com/docs/api-reference/parameter-details)\
-""")
-
- @validator('max_tokens')
- def max_tokens_must_be_positive(cls, v):
- """
- Validate that max_tokens is a positive integer.
- """
- if v <= 0:
- raise ValueError('max_tokens must be a positive integer')
- return v
-
- def get_model(self) -> BaseLanguageModel:
- """Get the model from the configuration.
-
- Returns:
- BaseLanguageModel: The model.
- """
- model = available_models[self.model_name.value]
- kwargs = model._lc_kwargs
- secrets = {secret: getattr(model, secret) for secret in model.lc_secrets.keys()}
- kwargs.update(secrets)
-
- model_kwargs = kwargs.get("model_kwargs", {})
- for attr, value in self.dict().items():
- if attr == "model_name":
- # Skip model_name
- continue
- if hasattr(model, attr):
- # If the model has the attribute, add it to kwargs
- kwargs[attr] = value
- else:
- # Otherwise, add it to model_kwargs (necessary for chat models)
- model_kwargs[attr] = value
- kwargs["model_kwargs"] = model_kwargs
-
- # Initialize a copy of the model using the config
- model = model.__class__(**kwargs)
- return model
-
-
- class Config:
- title = 'OpenAI'
\ No newline at end of file
diff --git a/module_text_llm/module_text_llm/helpers/models/replicate.py b/module_text_llm/module_text_llm/helpers/models/replicate.py
deleted file mode 100644
index 4941a46ac..000000000
--- a/module_text_llm/module_text_llm/helpers/models/replicate.py
+++ /dev/null
@@ -1,116 +0,0 @@
-import os
-from pydantic import Field, PositiveInt
-from enum import Enum
-
-from langchain.llms import Replicate
-from langchain.base_language import BaseLanguageModel
-
-from athena.logger import logger
-from .model_config import ModelConfig
-
-
-# Hardcoded list of models
-# If necessary, add more models from replicate here, the config below might need adjustments depending on the available
-# parameters of the model
-#
-# To update the version of the models, go to the respective page on replicate.com and copy the (latest) version id
-# from and paste it after the colon in the value of the dictionary. Ever so often a new version is released.
-replicate_models = {
- # LLAMA 2 70B Chat
- # https://replicate.com/replicate/llama-2-70b-chat
- "llama-2-70b-chat": "replicate/llama-2-70b-chat:58d078176e02c219e11eb4da5a02a7830a283b14cf8f94537af893ccff5ee781",
- # LLaMA 2 13B Chat
- # https://replicate.com/a16z-infra/llama-2-13b-chat
- "llama-2-13b-chat": "a16z-infra/llama-2-13b-chat:2a7f981751ec7fdf87b5b91ad4db53683a98082e9ff7bfd12c8cd5ea85980a52",
- # LLaMA 2 7B Chat
- # https://replicate.com/a16z-infra/llama-2-7b-chat
- "llama-2-7b-chat": "a16z-infra/llama-2-7b-chat:7b0bfc9aff140d5b75bacbed23e91fd3c34b01a1e958d32132de6e0a19796e2c",
-}
-
-available_models = {}
-if os.environ.get("REPLICATE_API_TOKEN"): # If Replicate is available
- available_models = {
- name: Replicate(
- model=model,
- model_kwargs={ "temperature": 0.01 }
- )
- for name, model in replicate_models.items()
- }
-else:
- logger.warning("REPLICATE_API_TOKEN not found in environment variables. Replicate models are disabled.")
-
-if available_models:
- logger.info("Available replicate models: %s",
- ", ".join(available_models.keys()))
-
- ReplicateModel = Enum('ReplicateModel', {name: name for name in available_models}) # type: ignore
-
-
- default_model_name = "llama-2-13b-chat"
- if "LLM_DEFAULT_MODEL" in os.environ and os.environ["LLM_DEFAULT_MODEL"] in available_models:
- default_model_name = os.environ["LLM_DEFAULT_MODEL"]
- if default_model_name not in available_models:
- default_model_name = list(available_models.keys())[0]
-
- default_replicate_model = ReplicateModel[default_model_name]
-
-
- # Note: Config has been setup with LLaMA 2 chat models in mind, other models may not work as expected
- class ReplicateModelConfig(ModelConfig):
- """Replicate LLM configuration."""
-
- model_name: ReplicateModel = Field(default=default_replicate_model, # type: ignore
- description="The name of the model to use.")
- max_new_tokens: PositiveInt = Field(1000, description="""\
-Maximum number of tokens to generate. A word is generally 2-3 tokens (minimum: 1)\
-""")
- min_new_tokens: int = Field(-1, description="""\
-Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens. (minimum: -1)\
-""")
- temperature: float = Field(default=0.01, ge=0.01, le=5, description="""\
-Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.\
-(minimum: 0.01; maximum: 5)\
-""")
- top_p: float = Field(default=1, ge=0, le=1, description="""\
-When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens (maximum: 1)\
-""")
- top_k: PositiveInt = Field(default=250, description="""\
-When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens\
-""")
- repetition_penalty: float = Field(default=1, ge=0.01, le=5, description="""\
-Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, \
-less than 1 encourage it. (minimum: 0.01; maximum: 5)\
-""")
- repetition_penalty_sustain: int = Field(default=-1, description="""
-Number of most recent tokens to apply repetition penalty to, -1 to apply to whole context (minimum: -1)\
-""")
- token_repetition_penalty_decay: PositiveInt = Field(default=128, description="""\
-Gradually decrease penalty over this many tokens (minimum: 1)\
-""")
-
- def get_model(self) -> BaseLanguageModel:
- """Get the model from the configuration.
-
- Returns:
- BaseLanguageModel: The model.
- """
- model = available_models[self.model_name.value]
- kwargs = model._lc_kwargs
-
- model_kwargs = {}
- for attr, value in self.dict().items():
- # Skip model_name
- if attr == "model_name":
- continue
- model_kwargs[attr] = value
-
- # Set model parameters
- kwargs["model_kwargs"] = model_kwargs
-
- # Initialize a copy of the model using the config
- model = model.__class__(**kwargs)
- return model
-
-
- class Config:
- title = 'Replicate'
diff --git a/module_text_llm/module_text_llm/prompts/generate_ungraded_feedback.py b/module_text_llm/module_text_llm/prompts/generate_ungraded_feedback.py
new file mode 100644
index 000000000..8142779b4
--- /dev/null
+++ b/module_text_llm/module_text_llm/prompts/generate_ungraded_feedback.py
@@ -0,0 +1,24 @@
+system_message = """
+You are an AI tutor for text assessment at a prestigious university.
+
+# Task
+Create ungraded formative feedback suggestions for a student\'s text submission that a human tutor would accept. \
+Meaning, the feedback you provide should be applicable to the submission with little to no modification.
+It is important that the feedback guides the student towards a correct answer but does not outright tell them the answer.
+
+# Style
+1. Educational, 2. Clear and Concise, 3. Actionable, 4. Constructive, 5. Contextual
+
+# Problem statement
+{problem_statement}
+
+# Example solution
+{example_solution}
+
+Max points: {max_points}, bonus points: {bonus_points}
+
+"""
+#TODO XXX
+human_message = """
+{submission}
+"""
\ No newline at end of file
diff --git a/module_text_llm/poetry.lock b/module_text_llm/poetry.lock
index 31187894c..d50485e90 100644
--- a/module_text_llm/poetry.lock
+++ b/module_text_llm/poetry.lock
@@ -1,88 +1,88 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohttp"
-version = "3.9.4"
+version = "3.9.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
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python-versions = ">=3.6"
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optional = false
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optional = false
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tests = ["pytest", "pytz", "simplejson"]
[[package]]
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mysql = ["mysqlclient (>=1.4.0)"]
mysql-connector = ["mysql-connector-python"]
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+ {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+ {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
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+ {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+ {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+ {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+ {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+ {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
]
[package.dependencies]
@@ -2115,4 +2319,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = "3.11.*"
-content-hash = "fc546e1b84d0435bf224a6a0d311171d6b40c44722c5c690c21f920a476976cb"
+content-hash = "bb8d1fa0e7d43869a32b840e2187fd8517badbb532abbe98cc964565ee25b025"
diff --git a/module_text_llm/pyproject.toml b/module_text_llm/pyproject.toml
index 76fcab84e..f02d74ba4 100644
--- a/module_text_llm/pyproject.toml
+++ b/module_text_llm/pyproject.toml
@@ -8,14 +8,12 @@ license = "MIT"
[tool.poetry.dependencies]
python = "3.11.*"
athena = {path = "../athena", develop = true}
-openai = "^0.27.8"
-langchain = "^0.0.350"
+shared_llm = {path = "../shared_llm", develop = true}
+openai = "^1.30.5"
python-dotenv = "^1.0.0"
nltk = "^3.8.1"
gitpython = "^3.1.41"
-replicate = "^0.11.0"
-tiktoken = "^0.4.0"
-langsmith = "^0.0.63"
+pydantic = "2.8.2"
[tool.poetry.scripts]
module = "athena:run_module"
diff --git a/playground/Dockerfile b/playground/Dockerfile
index ebfdfc403..67b8678d9 100644
--- a/playground/Dockerfile
+++ b/playground/Dockerfile
@@ -1,5 +1,5 @@
# syntax=docker/dockerfile:1
-FROM node:18.16.0-alpine
+FROM node:18.17.0-alpine
LABEL org.opencontainers.image.source=https://github.com/ls1intum/Athena
diff --git a/playground/data/example/exercise-1.json b/playground/data/example/exercise-1.json
index d7ecfa463..fcd9bd867 100644
--- a/playground/data/example/exercise-1.json
+++ b/playground/data/example/exercise-1.json
@@ -8,15 +8,15 @@
"problem_statement": "-> file:problem-statement.md",
"grading_instructions": "-> file:grading-instructions.md",
"programming_language": "java",
- "solution_repository_url": "{{exerciseDataUrl}}/solution.zip",
- "template_repository_url": "{{exerciseDataUrl}}/template.zip",
- "tests_repository_url": "{{exerciseDataUrl}}/tests.zip",
+ "solution_repository_uri": "{{exerciseDataUrl}}/solution.zip",
+ "template_repository_uri": "{{exerciseDataUrl}}/template.zip",
+ "tests_repository_uri": "{{exerciseDataUrl}}/tests.zip",
"meta": {},
"submissions": [
{
"id": 101,
- "repository_url": "{{exerciseDataUrl}}/submissions/101.zip",
+ "repository_uri": "{{exerciseDataUrl}}/submissions/101.zip",
"meta": {},
"feedbacks": [
{
@@ -43,12 +43,12 @@
},
{
"id": 102,
- "repository_url": "{{exerciseDataUrl}}/submissions/102.zip",
+ "repository_uri": "{{exerciseDataUrl}}/submissions/102.zip",
"meta": {}
},
{
"id": 103,
- "repository_url": "{{exerciseDataUrl}}/submissions/103.zip",
+ "repository_uri": "{{exerciseDataUrl}}/submissions/103.zip",
"meta": {},
"feedbacks": [
{
diff --git a/playground/package-lock.json b/playground/package-lock.json
index 6e374720e..42910ff23 100644
--- a/playground/package-lock.json
+++ b/playground/package-lock.json
@@ -21,7 +21,7 @@
"autoprefixer": "10.4.16",
"jszip": "3.10.1",
"monaco-editor": "0.44.0",
- "next": "13.5.6",
+ "next": "14.1.1",
"postcss": "8.4.31",
"react": "18.2.0",
"react-complex-tree": "2.2.2",
@@ -899,9 +899,9 @@
}
},
"node_modules/@next/env": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/env/-/env-13.5.6.tgz",
- "integrity": "sha512-Yac/bV5sBGkkEXmAX5FWPS9Mmo2rthrOPRQQNfycJPkjUAUclomCPH7QFVCDQ4Mp2k2K1SSM6m0zrxYrOwtFQw=="
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/env/-/env-14.1.1.tgz",
+ "integrity": "sha512-7CnQyD5G8shHxQIIg3c7/pSeYFeMhsNbpU/bmvH7ZnDql7mNRgg8O2JZrhrc/soFnfBnKP4/xXNiiSIPn2w8gA=="
},
"node_modules/@next/eslint-plugin-next": {
"version": "13.5.6",
@@ -933,9 +933,9 @@
}
},
"node_modules/@next/swc-darwin-arm64": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-13.5.6.tgz",
- "integrity": "sha512-5nvXMzKtZfvcu4BhtV0KH1oGv4XEW+B+jOfmBdpFI3C7FrB/MfujRpWYSBBO64+qbW8pkZiSyQv9eiwnn5VIQA==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-14.1.1.tgz",
+ "integrity": "sha512-yDjSFKQKTIjyT7cFv+DqQfW5jsD+tVxXTckSe1KIouKk75t1qZmj/mV3wzdmFb0XHVGtyRjDMulfVG8uCKemOQ==",
"cpu": [
"arm64"
],
@@ -948,9 +948,9 @@
}
},
"node_modules/@next/swc-darwin-x64": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-13.5.6.tgz",
- "integrity": "sha512-6cgBfxg98oOCSr4BckWjLLgiVwlL3vlLj8hXg2b+nDgm4bC/qVXXLfpLB9FHdoDu4057hzywbxKvmYGmi7yUzA==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-14.1.1.tgz",
+ "integrity": "sha512-KCQmBL0CmFmN8D64FHIZVD9I4ugQsDBBEJKiblXGgwn7wBCSe8N4Dx47sdzl4JAg39IkSN5NNrr8AniXLMb3aw==",
"cpu": [
"x64"
],
@@ -963,9 +963,9 @@
}
},
"node_modules/@next/swc-linux-arm64-gnu": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-13.5.6.tgz",
- "integrity": "sha512-txagBbj1e1w47YQjcKgSU4rRVQ7uF29YpnlHV5xuVUsgCUf2FmyfJ3CPjZUvpIeXCJAoMCFAoGnbtX86BK7+sg==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-14.1.1.tgz",
+ "integrity": "sha512-YDQfbWyW0JMKhJf/T4eyFr4b3tceTorQ5w2n7I0mNVTFOvu6CGEzfwT3RSAQGTi/FFMTFcuspPec/7dFHuP7Eg==",
"cpu": [
"arm64"
],
@@ -978,9 +978,9 @@
}
},
"node_modules/@next/swc-linux-arm64-musl": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-13.5.6.tgz",
- "integrity": "sha512-cGd+H8amifT86ZldVJtAKDxUqeFyLWW+v2NlBULnLAdWsiuuN8TuhVBt8ZNpCqcAuoruoSWynvMWixTFcroq+Q==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-14.1.1.tgz",
+ "integrity": "sha512-fiuN/OG6sNGRN/bRFxRvV5LyzLB8gaL8cbDH5o3mEiVwfcMzyE5T//ilMmaTrnA8HLMS6hoz4cHOu6Qcp9vxgQ==",
"cpu": [
"arm64"
],
@@ -993,9 +993,9 @@
}
},
"node_modules/@next/swc-linux-x64-gnu": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-13.5.6.tgz",
- "integrity": "sha512-Mc2b4xiIWKXIhBy2NBTwOxGD3nHLmq4keFk+d4/WL5fMsB8XdJRdtUlL87SqVCTSaf1BRuQQf1HvXZcy+rq3Nw==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-14.1.1.tgz",
+ "integrity": "sha512-rv6AAdEXoezjbdfp3ouMuVqeLjE1Bin0AuE6qxE6V9g3Giz5/R3xpocHoAi7CufRR+lnkuUjRBn05SYJ83oKNQ==",
"cpu": [
"x64"
],
@@ -1008,9 +1008,9 @@
}
},
"node_modules/@next/swc-linux-x64-musl": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-13.5.6.tgz",
- "integrity": "sha512-CFHvP9Qz98NruJiUnCe61O6GveKKHpJLloXbDSWRhqhkJdZD2zU5hG+gtVJR//tyW897izuHpM6Gtf6+sNgJPQ==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-14.1.1.tgz",
+ "integrity": "sha512-YAZLGsaNeChSrpz/G7MxO3TIBLaMN8QWMr3X8bt6rCvKovwU7GqQlDu99WdvF33kI8ZahvcdbFsy4jAFzFX7og==",
"cpu": [
"x64"
],
@@ -1023,9 +1023,9 @@
}
},
"node_modules/@next/swc-win32-arm64-msvc": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-13.5.6.tgz",
- "integrity": "sha512-aFv1ejfkbS7PUa1qVPwzDHjQWQtknzAZWGTKYIAaS4NMtBlk3VyA6AYn593pqNanlicewqyl2jUhQAaFV/qXsg==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-14.1.1.tgz",
+ "integrity": "sha512-1L4mUYPBMvVDMZg1inUYyPvFSduot0g73hgfD9CODgbr4xiTYe0VOMTZzaRqYJYBA9mana0x4eaAaypmWo1r5A==",
"cpu": [
"arm64"
],
@@ -1038,9 +1038,9 @@
}
},
"node_modules/@next/swc-win32-ia32-msvc": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-13.5.6.tgz",
- "integrity": "sha512-XqqpHgEIlBHvzwG8sp/JXMFkLAfGLqkbVsyN+/Ih1mR8INb6YCc2x/Mbwi6hsAgUnqQztz8cvEbHJUbSl7RHDg==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-14.1.1.tgz",
+ "integrity": "sha512-jvIE9tsuj9vpbbXlR5YxrghRfMuG0Qm/nZ/1KDHc+y6FpnZ/apsgh+G6t15vefU0zp3WSpTMIdXRUsNl/7RSuw==",
"cpu": [
"ia32"
],
@@ -1053,9 +1053,9 @@
}
},
"node_modules/@next/swc-win32-x64-msvc": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-13.5.6.tgz",
- "integrity": "sha512-Cqfe1YmOS7k+5mGu92nl5ULkzpKuxJrP3+4AEuPmrpFZ3BHxTY3TnHmU1On3bFmFFs6FbTcdF58CCUProGpIGQ==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-14.1.1.tgz",
+ "integrity": "sha512-S6K6EHDU5+1KrBDLko7/c1MNy/Ya73pIAmvKeFwsF4RmBFJSO7/7YeD4FnZ4iBdzE69PpQ4sOMU9ORKeNuxe8A==",
"cpu": [
"x64"
],
@@ -2378,9 +2378,9 @@
}
},
"node_modules/caniuse-lite": {
- "version": "1.0.30001571",
- "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001571.tgz",
- "integrity": "sha512-tYq/6MoXhdezDLFZuCO/TKboTzuQ/xR5cFdgXPfDtM7/kchBO3b4VWghE/OAi/DV7tTdhmLjZiZBZi1fA/GheQ==",
+ "version": "1.0.30001617",
+ "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001617.tgz",
+ "integrity": "sha512-mLyjzNI9I+Pix8zwcrpxEbGlfqOkF9kM3ptzmKNw5tizSyYwMe+nGLTqMK9cO+0E+Bh6TsBxNAaHWEM8xwSsmA==",
"funding": [
{
"type": "opencollective",
@@ -3894,11 +3894,6 @@
"node": ">=10.13.0"
}
},
- "node_modules/glob-to-regexp": {
- "version": "0.4.1",
- "resolved": "https://registry.npmjs.org/glob-to-regexp/-/glob-to-regexp-0.4.1.tgz",
- "integrity": "sha512-lkX1HJXwyMcprw/5YUZc2s7DrpAiHB21/V+E1rHUrVNokkvB6bqMzT0VfV6/86ZNabt1k14YOIaT7nDvOX3Iiw=="
- },
"node_modules/globals": {
"version": "13.23.0",
"resolved": "https://registry.npmjs.org/globals/-/globals-13.23.0.tgz",
@@ -5825,34 +5820,34 @@
"dev": true
},
"node_modules/next": {
- "version": "13.5.6",
- "resolved": "https://registry.npmjs.org/next/-/next-13.5.6.tgz",
- "integrity": "sha512-Y2wTcTbO4WwEsVb4A8VSnOsG1I9ok+h74q0ZdxkwM3EODqrs4pasq7O0iUxbcS9VtWMicG7f3+HAj0r1+NtKSw==",
+ "version": "14.1.1",
+ "resolved": "https://registry.npmjs.org/next/-/next-14.1.1.tgz",
+ "integrity": "sha512-McrGJqlGSHeaz2yTRPkEucxQKe5Zq7uPwyeHNmJaZNY4wx9E9QdxmTp310agFRoMuIYgQrCrT3petg13fSVOww==",
"dependencies": {
- "@next/env": "13.5.6",
+ "@next/env": "14.1.1",
"@swc/helpers": "0.5.2",
"busboy": "1.6.0",
- "caniuse-lite": "^1.0.30001406",
+ "caniuse-lite": "^1.0.30001579",
+ "graceful-fs": "^4.2.11",
"postcss": "8.4.31",
- "styled-jsx": "5.1.1",
- "watchpack": "2.4.0"
+ "styled-jsx": "5.1.1"
},
"bin": {
"next": "dist/bin/next"
},
"engines": {
- "node": ">=16.14.0"
+ "node": ">=18.17.0"
},
"optionalDependencies": {
- "@next/swc-darwin-arm64": "13.5.6",
- "@next/swc-darwin-x64": "13.5.6",
- "@next/swc-linux-arm64-gnu": "13.5.6",
- "@next/swc-linux-arm64-musl": "13.5.6",
- "@next/swc-linux-x64-gnu": "13.5.6",
- "@next/swc-linux-x64-musl": "13.5.6",
- "@next/swc-win32-arm64-msvc": "13.5.6",
- "@next/swc-win32-ia32-msvc": "13.5.6",
- "@next/swc-win32-x64-msvc": "13.5.6"
+ "@next/swc-darwin-arm64": "14.1.1",
+ "@next/swc-darwin-x64": "14.1.1",
+ "@next/swc-linux-arm64-gnu": "14.1.1",
+ "@next/swc-linux-arm64-musl": "14.1.1",
+ "@next/swc-linux-x64-gnu": "14.1.1",
+ "@next/swc-linux-x64-musl": "14.1.1",
+ "@next/swc-win32-arm64-msvc": "14.1.1",
+ "@next/swc-win32-ia32-msvc": "14.1.1",
+ "@next/swc-win32-x64-msvc": "14.1.1"
},
"peerDependencies": {
"@opentelemetry/api": "^1.1.0",
@@ -8219,18 +8214,6 @@
"loose-envify": "^1.0.0"
}
},
- "node_modules/watchpack": {
- "version": "2.4.0",
- "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.0.tgz",
- "integrity": "sha512-Lcvm7MGST/4fup+ifyKi2hjyIAwcdI4HRgtvTpIUxBRhB+RFtUh8XtDOxUfctVCnhVi+QQj49i91OyvzkJl6cg==",
- "dependencies": {
- "glob-to-regexp": "^0.4.1",
- "graceful-fs": "^4.1.2"
- },
- "engines": {
- "node": ">=10.13.0"
- }
- },
"node_modules/wcwidth": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz",
diff --git a/playground/package.json b/playground/package.json
index ab26b7703..fd913ee75 100644
--- a/playground/package.json
+++ b/playground/package.json
@@ -26,7 +26,7 @@
"allotment": "1.19.3",
"@monaco-editor/react": "4.6.0",
"monaco-editor": "0.44.0",
- "next": "13.5.6",
+ "next": "14.1.1",
"react": "18.2.0",
"react-complex-tree": "2.2.2",
"react-complex-tree-blueprintjs-renderers": "2.2.2",
diff --git a/playground/scripts/artemis/4_link_programming_repositories.mjs b/playground/scripts/artemis/4_link_programming_repositories.mjs
index 20583f5e5..a73b0f998 100644
--- a/playground/scripts/artemis/4_link_programming_repositories.mjs
+++ b/playground/scripts/artemis/4_link_programming_repositories.mjs
@@ -32,23 +32,23 @@ for (let exercise of exercises) {
if (!fs.existsSync(path.join(exercisePath, "solution"))) {
console.log(`Exercise ${exercise.id} has no solution at ${exercisePath}/solution`);
- exercise.solution_repository_url = null;
+ exercise.solution_repository_uri = null;
} else {
- exercise.solution_repository_url = `{{exerciseDataUrl}}/solution.zip`;
+ exercise.solution_repository_uri = `{{exerciseDataUrl}}/solution.zip`;
}
if (!fs.existsSync(path.join(exercisePath, "template"))) {
console.log(`Exercise ${exercise.id} has no template at ${exercisePath}/template`);
- exercise.template_repository_url = null;
+ exercise.template_repository_uri = null;
} else {
- exercise.template_repository_url = `{{exerciseDataUrl}}/template.zip`;
+ exercise.template_repository_uri = `{{exerciseDataUrl}}/template.zip`;
}
if (!fs.existsSync(path.join(exercisePath, "tests"))) {
console.log(`Exercise ${exercise.id} has no tests at ${exercisePath}/tests`);
- exercise.tests_repository_url = null;
+ exercise.tests_repository_uri = null;
} else {
- exercise.tests_repository_url = `{{exerciseDataUrl}}/tests.zip`;
+ exercise.tests_repository_uri = `{{exerciseDataUrl}}/tests.zip`;
}
const submissionsPath = path.join(exercisePath, "submissions");
@@ -56,9 +56,9 @@ for (let exercise of exercises) {
const submissionPath = path.join(submissionsPath, `${submission.id}`);
if (!fs.existsSync(submissionPath)) {
console.log(`Submission ${submission.id} has no directory at ${submissionPath}`);
- submission.repository_url = null;
+ submission.repository_uri = null;
} else {
- submission.repository_url = `{{exerciseDataUrl}}/submissions/${submission.id}.zip`;
+ submission.repository_uri = `{{exerciseDataUrl}}/submissions/${submission.id}.zip`;
}
return submission;
});
diff --git a/playground/src/components/base_info_header.tsx b/playground/src/components/base_info_header.tsx
index 2343e469b..03ca09250 100644
--- a/playground/src/components/base_info_header.tsx
+++ b/playground/src/components/base_info_header.tsx
@@ -5,43 +5,54 @@ import DataModeSelect from "@/components/selectors/data_mode_select";
import ViewModeSelect from "@/components/selectors/view_mode_select";
export default function BaseInfoHeader() {
- const { dataMode, viewMode, athenaUrl, athenaSecret } = useBaseInfo();
+ const { dataMode, viewMode, athenaUrl, athenaSecret, lmsUrl } = useBaseInfo();
const dispatch = useBaseInfoDispatch();
return (
-
-
-
-
-
-
dispatch({ type: "SET_DATA_MODE", payload: dataMode })}
- />
-
- dispatch({ type: "SET_VIEW_MODE", payload: viewMode })}
- />
-
+
);
}
diff --git a/playground/src/components/details/exercise_detail/programming.tsx b/playground/src/components/details/exercise_detail/programming.tsx
index 01d9a946f..e88bf1f33 100644
--- a/playground/src/components/details/exercise_detail/programming.tsx
+++ b/playground/src/components/details/exercise_detail/programming.tsx
@@ -7,13 +7,13 @@ export default function ProgrammingExerciseDetail({ exercise, openedInitially }:
return (
<>
-
+
-
+
-
+
>
);
diff --git a/playground/src/components/details/submission_detail/programming.tsx b/playground/src/components/details/submission_detail/programming.tsx
index f63d223ae..4f99c5d9a 100644
--- a/playground/src/components/details/submission_detail/programming.tsx
+++ b/playground/src/components/details/submission_detail/programming.tsx
@@ -30,7 +30,7 @@ export default function ProgrammingSubmissionDetail({
createNewFeedback(submission)}
diff --git a/playground/src/components/selectors/submission_select.tsx b/playground/src/components/selectors/submission_select.tsx
index 4d38fa5dd..915bac023 100644
--- a/playground/src/components/selectors/submission_select.tsx
+++ b/playground/src/components/selectors/submission_select.tsx
@@ -57,7 +57,7 @@ export default function SubmissionSelect({
{data?.map((sub: Submission) => {
const contentPreview =
(sub as TextSubmission)?.text ||
- (sub as ProgrammingSubmission)?.repository_url ||
+ (sub as ProgrammingSubmission)?.repository_uri ||
"?";
return (