Vector Store initial implementation

.github/CODEOWNERS

@@ -1,5 +1,4 @@
-gpt_engineer/steps.py @pbharrin
-gpt_engineer/chat_to_files.py @RareMojo
-gpt_engineer/db.py @RareMojo
+gpt_engineer/core/steps.py @pbharrin
+gpt_engineer/data @TheoMcCabe
 evals/ @UmerHA
 .github/workflows/ @ATheorell

.gitignore

@@ -48,10 +48,6 @@ archive
 todo
 scratchpad
 
-# Ignore GPT Engineer files
-projects
-!projects/example
-
 # Pyenv
 .python-version
 

docs/intro/harmony_db_ai_steps.md

@@ -26,7 +26,7 @@ Here is an example of a step function:
 <br>
 
 ```python
-def simple_gen(ai: AI, dbs: DBs):
+def simple_gen(ai: AI, dbs: FileRepositories):
     """Generate code based on the main prompt."""
     system = dbs.preprompts["generate"]
     user = dbs.input["main_prompt"]

evals/evals_existing_code.py

@@ -12,7 +12,7 @@
 )
 
 from gpt_engineer.core.chat_to_files import parse_chat
-from gpt_engineer.core.db import DB
+from gpt_engineer.data.file_repository import FileRepository
 
 app = typer.Typer()  # creates a CLI app
 
@@ -25,7 +25,7 @@ def single_evaluate(eval_ob: dict) -> list[bool]:
     # load the known files into the project
     # the files can be anywhere in the projects folder
 
-    workspace = DB(eval_ob["project_root"])
+    workspace = FileRepository(eval_ob["project_root"])
     file_list_string = ""
     code_base_abs = Path(os.getcwd()) / eval_ob["project_root"]
 

evals/evals_new_code.py

@@ -11,7 +11,7 @@
     load_evaluations_from_file,
 )
 
-from gpt_engineer.core.db import DB
+from gpt_engineer.data.file_repository import FileRepository
 
 app = typer.Typer()  # creates a CLI app
 
@@ -20,7 +20,7 @@ def single_evaluate(eval_ob: dict) -> list[bool]:
     """Evaluates a single prompt for creating a new project."""
     print(f"running evaluation: {eval_ob['name']}")
 
-    workspace = DB(eval_ob["project_root"])
+    workspace = FileRepository(eval_ob["project_root"])
     base_abs = Path(os.getcwd())
     code_base_abs = base_abs / eval_ob["project_root"]
 

gpt_engineer/__init__.py

@@ -4,5 +4,5 @@
     domain,
     chat_to_files,
     steps,
-    db,
 )
+from gpt_engineer.data import file_repository, code_vector_repository

gpt_engineer/cli/collect.py

@@ -28,7 +28,7 @@
 from typing import List
 
 from gpt_engineer.core import steps
-from gpt_engineer.core.db import DBs
+from gpt_engineer.data.file_repository import FileRepositories
 from gpt_engineer.core.domain import Step
 from gpt_engineer.cli.learning import Learning, extract_learning
 
@@ -39,7 +39,7 @@
 from typing import List
 
 from gpt_engineer.core import steps
-from gpt_engineer.core.db import DBs
+from gpt_engineer.data.file_repository import FileRepositories
 from gpt_engineer.core.domain import Step
 from gpt_engineer.cli.learning import Learning, extract_learning
 
@@ -71,7 +71,9 @@ def send_learning(learning: Learning):
     )
 
 
-def collect_learnings(model: str, temperature: float, steps: List[Step], dbs: DBs):
+def collect_learnings(
+    model: str, temperature: float, steps: List[Step], dbs: FileRepositories
+):
     """
     Collect the learning data and send it to RudderStack for analysis.
 

gpt_engineer/cli/file_selector.py

@@ -47,7 +47,7 @@
 from pathlib import Path
 from typing import List, Union
 
-from gpt_engineer.core.db import DB, DBs
+from gpt_engineer.data.file_repository import FileRepository
 
 IGNORE_FOLDERS = {"site-packages", "node_modules", "venv"}
 FILE_LIST_NAME = "file_list.txt"
@@ -321,7 +321,7 @@ def is_in_ignoring_extensions(path: Path) -> bool:
     return is_hidden and is_pycache
 
 
-def ask_for_files(metadata_db: DB, workspace_db: DB) -> None:
+def ask_for_files(metadata_db: FileRepository, workspace_db: FileRepository) -> None:
     """
     Ask user to select files to improve.
     It can be done by terminal, gui, or using the old selection.

gpt_engineer/cli/learning.py

@@ -52,7 +52,7 @@
 from dataclasses_json import dataclass_json
 from termcolor import colored
 
-from gpt_engineer.core.db import DB, DBs
+from gpt_engineer.data.file_repository import FileRepository, FileRepositories
 from gpt_engineer.core.domain import Step
 
 
@@ -187,7 +187,7 @@ def ask_collection_consent() -> bool:
         return False
 
 
-def logs_to_string(steps: List[Step], logs: DB) -> str:
+def logs_to_string(steps: List[Step], logs: FileRepository) -> str:
     """
     Convert the logs of the steps to a string.
 
@@ -211,7 +211,11 @@ def logs_to_string(steps: List[Step], logs: DB) -> str:
 
 
 def extract_learning(
-    model: str, temperature: float, steps: List[Step], dbs: DBs, steps_file_hash
+    model: str,
+    temperature: float,
+    steps: List[Step],
+    dbs: FileRepositories,
+    steps_file_hash,
 ) -> Learning:
     """
     Extract the learning data from the steps and databases.

gpt_engineer/cli/main.py

@@ -33,11 +33,12 @@
 import typer
 from dotenv import load_dotenv
 
+from gpt_engineer.data.file_repository import FileRepository, FileRepositories, archive
 from gpt_engineer.core.ai import AI
-from gpt_engineer.core.db import DB, DBs, archive
 from gpt_engineer.core.steps import STEPS, Config as StepsConfig
 from gpt_engineer.cli.collect import collect_learnings
 from gpt_engineer.cli.learning import check_collection_consent
+from gpt_engineer.data.code_vector_repository import CodeVectorRepository
 
 app = typer.Typer()  # creates a CLI app
 
@@ -51,7 +52,7 @@ def load_env_if_needed():
     openai.api_key = os.getenv("OPENAI_API_KEY")
 
 
-def load_prompt(dbs: DBs):
+def load_prompt(dbs: FileRepositories):
     if dbs.input.get("prompt"):
         return dbs.input.get("prompt")
 
@@ -90,6 +91,12 @@ def main(
         "-i",
         help="Improve code from existing project.",
     ),
+    vector_improve_mode: bool = typer.Option(
+        False,
+        "--vector-improve",
+        "-vi",
+        help="Improve code from existing project using vector store.",
+    ),
     lite_mode: bool = typer.Option(
         False,
         "--lite",
@@ -124,6 +131,12 @@ def main(
         ), "Improve mode not compatible with other step configs"
         steps_config = StepsConfig.IMPROVE_CODE
 
+    if vector_improve_mode:
+        assert (
+            steps_config == StepsConfig.DEFAULT
+        ), "Vector improve mode not compatible with other step configs"
+        steps_config = StepsConfig.VECTOR_IMPROVE
+
     load_env_if_needed()
 
     ai = AI(
@@ -145,37 +158,40 @@ def main(
     memory_path = project_metadata_path / "memory"
     archive_path = project_metadata_path / "archive"
 
-    dbs = DBs(
-        memory=DB(memory_path),
-        logs=DB(memory_path / "logs"),
-        input=DB(input_path),
-        workspace=DB(workspace_path),
-        preprompts=DB(preprompts_path(use_custom_preprompts, input_path)),
-        archive=DB(archive_path),
-        project_metadata=DB(project_metadata_path),
+    fileRepositories = FileRepositories(
+        memory=FileRepository(memory_path),
+        logs=FileRepository(memory_path / "logs"),
+        input=FileRepository(input_path),
+        workspace=FileRepository(workspace_path),
+        preprompts=FileRepository(preprompts_path(use_custom_preprompts, input_path)),
+        archive=FileRepository(archive_path),
+        project_metadata=FileRepository(project_metadata_path),
     )
 
+    codeVectorRepository = CodeVectorRepository()
+
     if steps_config not in [
         StepsConfig.EXECUTE_ONLY,
         StepsConfig.USE_FEEDBACK,
         StepsConfig.EVALUATE,
         StepsConfig.IMPROVE_CODE,
+        StepsConfig.VECTOR_IMPROVE,
         StepsConfig.SELF_HEAL,
     ]:
-        archive(dbs)
-        load_prompt(dbs)
+        archive(fileRepositories)
+        load_prompt(fileRepositories)
 
     steps = STEPS[steps_config]
     for step in steps:
-        messages = step(ai, dbs)
-        dbs.logs[step.__name__] = AI.serialize_messages(messages)
+        messages = step(ai, fileRepositories)
+        fileRepositories.logs[step.__name__] = AI.serialize_messages(messages)
 
     print("Total api cost: $ ", ai.token_usage_log.usage_cost())
 
     if check_collection_consent():
-        collect_learnings(model, temperature, steps, dbs)
+        collect_learnings(model, temperature, steps, fileRepositories)
 
-    dbs.logs["token_usage"] = ai.token_usage_log.format_log()
+    fileRepositories.logs["token_usage"] = ai.token_usage_log.format_log()
 
 
 if __name__ == "__main__":

gpt_engineer/core/chat_to_files.py

@@ -33,7 +33,7 @@
 from dataclasses import dataclass
 from typing import List, Tuple
 
-from gpt_engineer.core.db import DB, DBs
+from gpt_engineer.data.file_repository import FileRepository, FileRepositories
 from gpt_engineer.cli.file_selector import FILE_LIST_NAME
 
 
@@ -87,7 +87,7 @@ def parse_chat(chat) -> List[Tuple[str, str]]:
     return files
 
 
-def to_files_and_memory(chat: str, dbs: DBs):
+def to_files_and_memory(chat: str, dbs: FileRepositories):
     """
     Save chat to memory, and parse chat to extracted file and save them to the workspace.
 
@@ -102,7 +102,7 @@ def to_files_and_memory(chat: str, dbs: DBs):
     to_files(chat, dbs.workspace)
 
 
-def to_files(chat: str, workspace: DB):
+def to_files(chat: str, workspace: FileRepository):
     """
     Parse the chat and add all extracted files to the workspace.
 
@@ -118,7 +118,9 @@ def to_files(chat: str, workspace: DB):
         workspace[file_name] = file_content
 
 
-def get_code_strings(workspace: DB, metadata_db: DB) -> dict[str, str]:
+def get_code_strings(
+    workspace: FileRepository, metadata_db: FileRepository
+) -> dict[str, str]:
     """
     Read file_list.txt and return file names and their content.
     Parameters
@@ -181,7 +183,7 @@ def format_file_to_input(file_name: str, file_content: str) -> str:
     return file_str
 
 
-def overwrite_files_with_edits(chat: str, dbs: DBs):
+def overwrite_files_with_edits(chat: str, dbs: FileRepositories):
     edits = parse_edits(chat)
     apply_edits(edits, dbs.workspace)
 
@@ -234,7 +236,7 @@ def parse_all_edits(txt):
     return parse_all_edits(llm_response)
 
 
-def apply_edits(edits: List[Edit], workspace: DB):
+def apply_edits(edits: List[Edit], workspace: FileRepository):
     for edit in edits:
         filename = edit.filename
         if edit.before == "":

gpt_engineer/core/domain.py

@@ -15,6 +15,9 @@
 from typing import Callable, List, TypeVar
 
 from gpt_engineer.core.ai import AI
-from gpt_engineer.core.db import DBs
+from gpt_engineer.data.file_repository import FileRepositories
+from gpt_engineer.data.code_vector_repository import CodeVectorRepository
 
-Step = TypeVar("Step", bound=Callable[[AI, DBs], List[dict]])
+Step = TypeVar(
+    "Step", bound=Callable[[AI, FileRepositories, CodeVectorRepository], List[dict]]
+)