diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..1800114dc1282dc036336932073875ba4508dfff --- /dev/null +++ b/.gitignore @@ -0,0 +1,174 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc \ No newline at end of file diff --git a/.gitignore:Zone.Identifier b/.gitignore:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/.gitignore:Zone.Identifier differ diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..7dc08cb5538f945eb4c2003c76f2eeb2d00546e9 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,39 @@ +FROM python:3.12-slim + +# Set environment variables +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 + +# Install system dependencies +RUN apt-get update && \ + apt-get install -y --no-install-recommends curl build-essential \ + libglib2.0-0 \ + libsm6 \ + libxrender1 \ + libxext6 \ + && rm -rf /var/lib/apt/lists/* + +# Install Poetry +RUN curl -sSL https://install.python-poetry.org | python3 - + +# Add Poetry to PATH +ENV PATH="/root/.local/bin:$PATH" +ENV PYTHONPATH=/app + +# Set working directory +WORKDIR /app/myapp + +# Copy only pyproject.toml and poetry.lock first (caching dependencies) +COPY pyproject.toml poetry.lock* ./ + +# Install dependencies +RUN poetry install --no-root --only main + +# Copy the full project +COPY . . + +# Expose port +EXPOSE 8000 + +# Command to run FastAPI +CMD ["poetry", "run", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"] \ No newline at end of file diff --git a/Dockerfile.hugging-face b/Dockerfile.hugging-face new file mode 100644 index 0000000000000000000000000000000000000000..d7564f3c689288f975aa6b91692d0dd2e18464e8 --- /dev/null +++ b/Dockerfile.hugging-face @@ -0,0 +1,43 @@ +FROM python:3.12-slim + +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 + +# Install system dependencies +RUN apt-get update && \ + apt-get install -y --no-install-recommends curl build-essential \ + libglib2.0-0 \ + libsm6 \ + libxrender1 \ + libxext6 \ + && rm -rf /var/lib/apt/lists/* + +RUN curl -sSL https://install.python-poetry.org | python3 - + +# Add Poetry to PATH +ENV PATH="/root/.local/bin:$PATH" +ENV PYTHONPATH=/app + +WORKDIR /app/myapp + +COPY pyproject.toml poetry.lock* ./ + +# Install dependencies +RUN poetry install --no-root --only main + +# Copy the full project +COPY . . + +EXPOSE 7860 + + +ENV SUPABASE_URL="" +ENV SUPABASE_KEY="" +ENV B2_KEY_ID="" +ENV B2_APP_KEY="" +ENV B2_BUCKET_NAME="" +ENV PINECONE_API_KEY="" +ENV PINECONE_REGION="" + + +CMD ["poetry", "run", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--reload"] \ No newline at end of file diff --git a/Dockerfile.hugging-face:Zone.Identifier b/Dockerfile.hugging-face:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/Dockerfile.hugging-face:Zone.Identifier differ diff --git a/Dockerfile:Zone.Identifier b/Dockerfile:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/Dockerfile:Zone.Identifier differ diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/__init__.py:Zone.Identifier b/__init__.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/__init__.py:Zone.Identifier differ diff --git a/database/buckets/building_client.py b/database/buckets/building_client.py new file mode 100644 index 0000000000000000000000000000000000000000..058b0d3ca9dbe81287dd22843486c0c84a668cdf --- /dev/null +++ b/database/buckets/building_client.py @@ -0,0 +1,30 @@ +from b2sdk.v2 import B2Api +from fastapi import HTTPException, UploadFile +from myapp.database.buckets.client import BucketClient +from myapp.database.buckets.config import BUILDING_BUCKET_NAME, b2_api +from myapp.logging.log import log_call + +class BuildingBucketClient(BucketClient): + def __init__(self, b2_api: B2Api): + super().__init__(b2_api, BUILDING_BUCKET_NAME) + + @log_call("Uploaded model file '{remote_file_name}' to building bucket") + async def upload_model(self, file_contents: bytes, remote_file_name: str): + try: + super().upload_model(file_contents, remote_file_name) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to upload model file: {str(e)}") + + @log_call("Deleted file '{remote_file_name}' from building bucket") + async def delete_file(self, remote_file_name: str): + super().delete_file(remote_file_name) + + async def get_all_file_names(self, path: str = "") -> list[str]: + try: + file_names = [file_info.file_name for file_info, _ in self.bucket.ls(path, recursive=True)] + return file_names + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to list files in bucket: {str(e)}") + + +building_bucket_client = BuildingBucketClient(b2_api) \ No newline at end of file diff --git a/database/buckets/building_client.py:Zone.Identifier b/database/buckets/building_client.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/buckets/building_client.py:Zone.Identifier differ diff --git a/database/buckets/client.py b/database/buckets/client.py new file mode 100644 index 0000000000000000000000000000000000000000..fed0bf4b6fa047c6ab9a54d87bdf17bf0bb1c5af --- /dev/null +++ b/database/buckets/client.py @@ -0,0 +1,42 @@ +import io +from b2sdk.v2 import B2Api +from fastapi import HTTPException + +from myapp.utils.constants import ResultStatus + +class BucketClient: + def __init__(self, b2_api: B2Api, bucket_name: str): + self.bucket = b2_api.get_bucket_by_name(bucket_name) + + def upload_model(self, file_bytes: bytes, remote_file_name: str): + try: + self.bucket.get_file_info_by_name(remote_file_name) + return # File already exists, skip upload + except Exception: + pass + self.bucket.upload_bytes(file_bytes, remote_file_name) + + def get_file_by_url(self, image_url: str): + downloaded_file = io.BytesIO() + + self.bucket.download_file_by_name(image_url).save(downloaded_file) + downloaded_file.seek(0) + + return downloaded_file.read() + + def delete_file(self, remote_file_name: str): + try: + file_version = self.bucket.get_file_info_by_name(remote_file_name) + if not file_version: + raise HTTPException(status_code=404, detail=f"File '{remote_file_name}' not found in bucket.") + self.bucket.delete_file_version(file_version.id_, remote_file_name) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete file '{remote_file_name}': {str(e)}") + + async def delete_folder(self, folder_path: str): + try: + files_to_delete = [file_info for file_info, _ in self.bucket.ls(folder_path, recursive=True)] + for file_info in files_to_delete: + self.bucket.delete_file_version(file_info.id_, file_info.file_name) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete folder '{folder_path}': {str(e)}") \ No newline at end of file diff --git a/database/buckets/client.py:Zone.Identifier b/database/buckets/client.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/buckets/client.py:Zone.Identifier differ diff --git a/database/buckets/config.py b/database/buckets/config.py new file mode 100644 index 0000000000000000000000000000000000000000..f56d7a77d299347173ed9ddcaf5e750e4007a5d2 --- /dev/null +++ b/database/buckets/config.py @@ -0,0 +1,20 @@ +from enum import Enum +import os +from b2sdk.v2 import InMemoryAccountInfo, B2Api + +BUILDING_BUCKET_NAME = os.environ.get("B2_BUCKET_NAME") +BUCKET_STORAGE_PREFIX = "https://f002.backblazeb2.com/file/" +BUILDING_BUCKET_URL_PREFIX = BUCKET_STORAGE_PREFIX + BUILDING_BUCKET_NAME + "/" + +class BuildingBucketFolders(str, Enum): + MODELS = "models/" + IMAGES = "images/" + + +b2_info = InMemoryAccountInfo() +b2_api = B2Api(b2_info) +b2_api.authorize_account( + "production", + os.environ.get("B2_KEY_ID"), + os.environ.get("B2_APP_KEY") +) diff --git a/database/buckets/config.py:Zone.Identifier b/database/buckets/config.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/buckets/config.py:Zone.Identifier differ diff --git a/database/metadata/building_client.py b/database/metadata/building_client.py new file mode 100644 index 0000000000000000000000000000000000000000..e30490a4d9e0a6b7137a45bffe591d0bd6c214bc --- /dev/null +++ b/database/metadata/building_client.py @@ -0,0 +1,50 @@ +from supabase import Client +from myapp.database.metadata.client import DatabaseSQLClient +from myapp.database.metadata.config import Tables, database_client +from myapp.models.Building import BuildingColumns, BuildingCreate, BuildingUpdateMetadata +from myapp.logging.log import log_call + + +class BuildingSQLClient(DatabaseSQLClient): + def __init__(self, database_connection: Client): + super().__init__(Tables.BUILDINGS.value, database_connection) + + @log_call("Inserted building '{building.name}' into metadata database") + def insert(self, building: BuildingCreate): + response = self.table_request().select(BuildingColumns.ID.value).eq(BuildingColumns.NAME.value, building.name).execute() + + point_wkt = f"SRID=4326;POINT({building.location.longitude} {building.location.latitude})" if building.location else None + data = { + BuildingColumns.NAME.value: building.name, + BuildingColumns.MODEL_URL.value: building.model_url, + BuildingColumns.LOCATION.value: point_wkt + } + + if response.data: + building_id = response.data[0][BuildingColumns.ID.value] + return super().update(building_id, data, BuildingColumns.ID.value) + else: + return super().insert(data) + + def update(self, building: BuildingUpdateMetadata): + point_wkt = f"SRID=4326;POINT({building.location.longitude} {building.location.latitude})" if building.location else None + data = { + BuildingColumns.LOCATION.value: point_wkt + } + return super().update(building.name, data, property_name=BuildingColumns.NAME.value) + + @log_call("Deleted building '{building_name}' from metadata database") + def delete(self, building_name: str): + return super().delete(building_name, property_name=BuildingColumns.NAME.value) + + def record_exists(self, building_name: str) -> bool: + return super().record_exists(building_name, property_name=BuildingColumns.NAME.value) + + def get_all_buildings_names(self) -> list[str]: + response = self.table_request().select(BuildingColumns.NAME.value).execute() + if response.data is None: + return [] + return [record[BuildingColumns.NAME.value] for record in response.data] + + +building_metadata_client = BuildingSQLClient(database_connection=database_client) \ No newline at end of file diff --git a/database/metadata/building_client.py:Zone.Identifier b/database/metadata/building_client.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/metadata/building_client.py:Zone.Identifier differ diff --git a/database/metadata/client.py b/database/metadata/client.py new file mode 100644 index 0000000000000000000000000000000000000000..c7ffb2ba03142431204fcb3b6aaa24fe414f7c3d --- /dev/null +++ b/database/metadata/client.py @@ -0,0 +1,51 @@ +from fastapi import HTTPException +from postgrest import SyncRequestBuilder +from supabase import Client + +from myapp.models.Building import BuildingColumns, Location + +class DatabaseSQLClient: + def __init__(self, table: str, database_connection: Client): + self.table = table + self.client = database_connection + + def insert(self, data: dict): + response = self.client.table(self.table).insert(data).execute() + + if not response.data: + raise HTTPException(status_code=500, detail=f"Supabase insert failed: {response.data}") + + inserted_row = response.data[0] + inserted_row[BuildingColumns.LOCATION.value] = _geojson_to_location(inserted_row[BuildingColumns.LOCATION.value]) + + return inserted_row + + def update(self, property_value, data: dict, property_name: str = BuildingColumns.ID.value): + response = self.client.table(self.table).update(data).eq(property_name, property_value).execute() + + if not response.data: + raise HTTPException(status_code=500, detail=f"Supabase update failed: {response.data}") + + updated_row = response.data[0] + updated_row[BuildingColumns.LOCATION.value] = _geojson_to_location(updated_row[BuildingColumns.LOCATION.value]) + + return updated_row + + def delete(self, property_value, property_name: str = BuildingColumns.ID.value): + return self.client.table(self.table).delete().eq(property_name, property_value).execute() + + def record_exists(self, property_value, property_name: str = BuildingColumns.ID.value) -> bool: + response = self.client.table(self.table).select(BuildingColumns.ID.value).eq(property_name, property_value).execute() + return bool(response.data) + + def table_request(self) -> SyncRequestBuilder: + return self.client.table(self.table) + + +def _geojson_to_location(location_geojson: dict) -> Location: + try: + lon, lat = location_geojson["coordinates"] + except (KeyError, ValueError, TypeError): + raise ValueError("Invalid GeoJSON format for Point") + + return Location(latitude=lat, longitude=lon) diff --git a/database/metadata/client.py:Zone.Identifier b/database/metadata/client.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/metadata/client.py:Zone.Identifier differ diff --git a/database/metadata/config.py b/database/metadata/config.py new file mode 100644 index 0000000000000000000000000000000000000000..c886544f7c311e283b3deafc81510ffcc22f1244 --- /dev/null +++ b/database/metadata/config.py @@ -0,0 +1,15 @@ +import os +from enum import Enum +from supabase import create_client, Client + +url: str = os.environ.get("SUPABASE_URL") +key: str = os.environ.get("SUPABASE_KEY") +database_client: Client = create_client(url, key) + + +class Tables(str, Enum): + BUILDINGS = "buildings" + + +class DatabaseQueries(str, Enum): + GET_NEARBY_PLACES = "get_nearby_places" \ No newline at end of file diff --git a/database/metadata/config.py:Zone.Identifier b/database/metadata/config.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/metadata/config.py:Zone.Identifier differ diff --git a/database/vectors/building_client.py b/database/vectors/building_client.py new file mode 100644 index 0000000000000000000000000000000000000000..da61856339db3fce774ce931a8500458e1ed9c83 --- /dev/null +++ b/database/vectors/building_client.py @@ -0,0 +1,41 @@ +import hashlib +from pinecone import Pinecone, QueryResponse +from myapp.database.vectors.client import DatabaseVectorClient +from myapp.database.vectors.config import VectorIndexes, pinecone_client +from myapp.logging.log import log_call +from myapp.models.Building import BuildingColumns, BuildingVector + + +class BuildingVectorClient(DatabaseVectorClient): + def __init__(self, database_connection: Pinecone): + super().__init__(database_connection, VectorIndexes.BUILDINGS.value) + + def upsert_vectors(self, vectors: list[BuildingVector]): + building_vectors = [] + for vector in vectors: + vector_id = self._hash_image_url(vector.img_bytes) + building_vectors.append({ + BuildingColumns.ID.value: vector_id, + "values": vector.values, + "metadata": {BuildingColumns.MODEL_URL.value: vector.model_url, "render_url": vector.render_url} + }) + return super().upsert_vectors(building_vectors) + + @log_call("Searched top {top_k} vectors in building vector index") + def search(self, vector: list[float], top_k: int = 5, include_metadata: bool = True, filter: dict = None) -> QueryResponse: + return super().search(vector, top_k, include_metadata, filter) + + @log_call("Deleted vectors with url: {model_url} from building vector index") + def delete_by_url(self, model_url: str): + """ + Deletes all vectors whose metadata.url matches the given URL. + """ + self.index.delete(filter={"model_url": {"$eq": model_url}}) + + + def _hash_image_url(self, img_bytes: bytes) -> str: + """Generate SHA-256 hash of image content for a stable ID.""" + return hashlib.sha256(img_bytes).hexdigest() + + +building_vector_client = BuildingVectorClient(database_connection=pinecone_client) \ No newline at end of file diff --git a/database/vectors/building_client.py:Zone.Identifier b/database/vectors/building_client.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/vectors/building_client.py:Zone.Identifier differ diff --git a/database/vectors/client.py b/database/vectors/client.py new file mode 100644 index 0000000000000000000000000000000000000000..02827ba72149e506ec01a3b2540a91357aa2e4bf --- /dev/null +++ b/database/vectors/client.py @@ -0,0 +1,15 @@ +from pinecone import Pinecone, QueryResponse + + +class DatabaseVectorClient: + def __init__(self, pinecone_client: Pinecone, index_name: str): + self.index_name = index_name + self.index = pinecone_client.Index(index_name) + + def upsert_vectors(self, vectors: list[dict]): + self.index.upsert(vectors) + + def search(self, vector: list[float], top_k: int = 5, include_metadata: bool = True, filter: dict = None) -> QueryResponse: + return self.index.query(vector=vector, top_k=top_k, include_metadata=include_metadata, filter=filter) + + \ No newline at end of file diff --git a/database/vectors/client.py:Zone.Identifier b/database/vectors/client.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/vectors/client.py:Zone.Identifier differ diff --git a/database/vectors/config.py b/database/vectors/config.py new file mode 100644 index 0000000000000000000000000000000000000000..54165524d3cee052d6445f03d164af74de606bd4 --- /dev/null +++ b/database/vectors/config.py @@ -0,0 +1,12 @@ +from enum import StrEnum +import os +from pinecone import Pinecone + + +PINECONE_API_KEY = os.getenv("PINECONE_API_KEY") +PINECONE_REGION = os.getenv("PINECONE_REGION") + +pinecone_client = Pinecone(api_key=PINECONE_API_KEY) + +class VectorIndexes(StrEnum): + BUILDINGS = "models-renderings" \ No newline at end of file diff --git a/database/vectors/config.py:Zone.Identifier b/database/vectors/config.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/database/vectors/config.py:Zone.Identifier differ diff --git a/logging/log.py b/logging/log.py new file mode 100644 index 0000000000000000000000000000000000000000..d4135a1b9e4d2c55cdf301255e7cd521f33a9631 --- /dev/null +++ b/logging/log.py @@ -0,0 +1,73 @@ +import logging +import json +from functools import wraps +from inspect import signature + +# Configure logging +logging.basicConfig(level=logging.INFO, format="%(message)s") + +def log_call(message: str, log_return: bool = False): + """ + Decorator for string-based logging with argument placeholders. + Example: @log_call("Processing user {user_id}", log_return=True) + """ + def decorator(func): + @wraps(func) + def wrapper(*args, **kwargs): + sig = signature(func) + bound_args = sig.bind(*args, **kwargs) + bound_args.apply_defaults() + + # Pre-call log + try: + log_msg = message.format(**bound_args.arguments) + except Exception as e: + log_msg = f"{message} | (formatting failed: {e})" + logging.info(log_msg) + + try: + result = func(*args, **kwargs) + if log_return: + logging.info("Return value: %r", result) + return result + except Exception as e: + logging.exception("Exception in %s: %s", func.__name__, e) + raise + return wrapper + return decorator + + +def log_call_json(log_return: bool = False): + """ + Decorator for JSON-based logging. + Captures function name, args, return value, and errors. + """ + def decorator(func): + @wraps(func) + def wrapper(*args, **kwargs): + sig = signature(func) + bound_args = sig.bind(*args, **kwargs) + bound_args.apply_defaults() + + log_entry = { + "function": func.__name__, + "args": dict(bound_args.arguments), + } + + try: + result = func(*args, **kwargs) + if log_return: + log_entry["result"] = result + log_entry["status"] = "success" + logging.info(json.dumps(log_entry, default=str)) + return result + except Exception as e: + log_entry["status"] = "error" + log_entry["error"] = { + "type": type(e).__name__, + "message": str(e), + } + logging.error(json.dumps(log_entry, default=str)) + raise + return wrapper + return decorator \ No newline at end of file diff --git a/logging/log.py:Zone.Identifier b/logging/log.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/logging/log.py:Zone.Identifier differ diff --git a/main.py b/main.py new file mode 100644 index 0000000000000000000000000000000000000000..2c7bf718292bcf308134ffa4a61d7d197649d435 --- /dev/null +++ b/main.py @@ -0,0 +1,16 @@ +from fastapi import FastAPI +from myapp.routers import buildings_router +from myapp.routers import buildings_search_router + +app = FastAPI(title="3D Model Search API", version="1.0.0") + +app.include_router(buildings_router.router) +app.include_router(buildings_search_router.router) + +@app.get("/", response_description="API is running") +async def root(): + """ + Root endpoint + """ + return {"message": "API is running"} + diff --git a/main.py:Zone.Identifier b/main.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/main.py:Zone.Identifier differ diff --git a/models/Building.py b/models/Building.py new file mode 100644 index 0000000000000000000000000000000000000000..76db5009d5af0ecd9bf25d2c76e9967167481945 --- /dev/null +++ b/models/Building.py @@ -0,0 +1,48 @@ +from typing import List, Optional +from enum import Enum +from datetime import datetime +from pydantic import BaseModel, Field + +class Location(BaseModel): + latitude: float = Field(...) + longitude: float = Field(...) + + +class BuildingCreate(BaseModel): + """ + Model of 3D Building + """ + name: str = Field(...) + location: Location = Field(...) + model_url: Optional[str] = Field(None) + + +class Building(BaseModel): + id: str + name: str + model_url: str + location: Location + created_at: datetime + + +class BuildingUpdateMetadata(BaseModel): + name: str = Field(...) + location: Location = Field(...) + +class BuildingSearch(BaseModel): + id: str + model_url: str + +class BuildingVector(BaseModel): + values: List[float] + img_bytes: bytes + model_url: str + render_url: str + + +class BuildingColumns(Enum): + ID = "id" + NAME = "name" + MODEL_URL = "model_url" + LOCATION = "location" + CREATED_AT = "created_at" \ No newline at end of file diff --git a/models/Building.py:Zone.Identifier b/models/Building.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/models/Building.py:Zone.Identifier differ diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 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differ diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..31d2d9bcae857618d22f8d04dd8c7d56ddd95796 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,29 @@ +[project] +name = "myapp" +version = "0.1.0" +description = "" +authors = [ + {name = "Your Name",email = "you@example.com"} +] +requires-python = ">=3.12,<3.14" +dependencies = [ + "fastapi (>=0.116.1,<0.117.0)", + "uvicorn (>=0.35.0,<0.36.0)", + "pydantic (>=2.11.9,<3.0.0)", + "supabase (>=2.18.1,<3.0.0)", + "b2sdk (>=2.10.0,<3.0.0)", + "python-multipart (>=0.0.20,<0.0.21)", + "torch (>=2.8.0,<3.0.0)", + "pinecone (>=7.3.0,<8.0.0)", + "pillow (>=11.3.0,<12.0.0)", + "clip @ git+https://github.com/openai/CLIP.git", + "redis (>=6.4.0,<7.0.0)", + "transformers (>=4.56.2,<5.0.0)", + "onnxruntime (>=1.23.0,<2.0.0)", + "opencv-python-headless (>=4.12.0.88,<5.0.0.0)", +] + + +[build-system] +requires = ["poetry-core>=2.0.0,<3.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/pyproject.toml:Zone.Identifier b/pyproject.toml:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/pyproject.toml:Zone.Identifier differ diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e0578a0c2cb636e21d871d5ae4fdbb81887bee2 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,2 @@ +fastapi +uvicorn[standard] \ No newline at end of file diff --git a/routers/buildings_router.py b/routers/buildings_router.py new file mode 100644 index 0000000000000000000000000000000000000000..903e85de761af75637408cf21e35fa1c8b8ffd66 --- /dev/null +++ b/routers/buildings_router.py @@ -0,0 +1,155 @@ +from typing import List +from fastapi import APIRouter, Body, File, Form, HTTPException, UploadFile, status +from myapp.database.metadata.building_client import building_metadata_client +from myapp.database.buckets.building_client import building_bucket_client +from myapp.database.vectors.building_client import building_vector_client +from myapp.models.Building import Building, BuildingCreate, BuildingUpdateMetadata, BuildingVector, BuildingColumns +from myapp.database.buckets.config import BuildingBucketFolders +from myapp.search.preprocess.embed_models import get_image_embeddings, process_building +from myapp.utils.image_utils import get_image_stream + + +router = APIRouter( + prefix="/buildings", + tags=["buildings"] +) + + +@router.post( + "/add/", + response_description="Building has been succesfully added!", + status_code=status.HTTP_200_OK, + response_model=Building, +) +async def add_building( + building = Form(...), + model_renders_files: List[UploadFile] = File(None), +): + building: Building = BuildingCreate.model_validate_json(building) + + if len(model_renders_files) < 4: + raise HTTPException(status_code=400, detail="At least 4 model renders must be provided.") + + # Upload model files to Bucket Storage + renders_vectors: List[BuildingVector] = [] + file_folder_name = f"{BuildingBucketFolders.MODELS.value}{building.name}/" + print("Processing files...", building.name) + for model_render_file in model_renders_files: + remote_file_name: str = file_folder_name + model_render_file.filename + img_bytes = await model_render_file.read() + # await building_bucket_client.upload_model(img_bytes, remote_file_name) + # image = get_image_stream(img_bytes) + img_embeddings = process_building(img_bytes) + renders_vectors.append(BuildingVector( + values=img_embeddings, + img_bytes=img_bytes, + model_url=file_folder_name, + render_url=remote_file_name + )) + + # Upsert model renders vectors into Vector DB + print("Uploading vectors...") + for batch_start in range(0, len(renders_vectors), 25): + batch = renders_vectors[batch_start:batch_start + 25] + if batch: + building_vector_client.upsert_vectors(batch) + + # Insert building metadata into database + building.model_url = file_folder_name + building = building_metadata_client.insert(building) + if not building: + raise HTTPException(status_code=500, detail="Failed to insert building model.") + + return building + + +@router.delete( + "/{building_name}/", + response_description="Building has been succesfully deleted!", + status_code=status.HTTP_200_OK, +) +async def delete_building(building_name: str): + """ + Delete building by name + """ + if not building_metadata_client.record_exists(building_name): + raise HTTPException(status_code=404, detail=f"Building with name '{building_name}' not found.") + + response = building_metadata_client.table_request().select(BuildingColumns.MODEL_URL.value).eq(BuildingColumns.NAME.value, building_name).execute() + model_url = response.data[0].get(BuildingColumns.MODEL_URL.value, []) if response.data else [] + + # Delete renders from Bucket Storage + # try: + # await building_bucket_client.delete_folder(model_url) + # except Exception as e: + # raise HTTPException(status_code=500, detail=f"Failed to delete building files from bucket: {str(e)}") + + # Delete vectors from Vector DB + building_vector_client.delete_by_url(model_url) + + # Delete building metadata from database + response = building_metadata_client.delete(building_name) + if not response.data: + raise HTTPException(status_code=500, detail="Failed to delete building.") + + return {"message": f"Building with name '{building_name}' has been deleted with its models files."} + + +@router.get( + "/", + response_description="List all building names", + status_code=status.HTTP_200_OK, + response_model=list[str], +) +async def get_all_buildings_names() -> list[str]: + """ + Return list of buildings names stored in database. + """ + return await building_metadata_client.get_all_buildings_names() + + + +@router.post( + "/update_metadata/", + response_description="Building metadata has been succesfully updated!", + status_code=status.HTTP_200_OK, +) +async def update_building_metadata(building: BuildingUpdateMetadata = Body(...)): + """ + Search for place matching to photo + """ + building = building_metadata_client.update(building) + return building + + +# @router.post( +# "/add_model/", +# response_description="3D Model has been succesfully added!", +# status_code=status.HTTP_200_OK, +# ) +# async def add_building_model( +# building_name: str = Form(...), +# model_file: UploadFile = File(...), +# ): +# """ +# Upload 3D model file to existing building +# """ +# response = building_metadata_client.table_request().select(BuildingColumns.MODELS_URLS.value).eq(BuildingColumns.NAME.value, building_name).execute() +# if not response.data: +# raise HTTPException(status_code=404, detail=f"Building with name '{building_name}' not found.") + +# current_models_urls: list[str] = response.data[0].get(BuildingColumns.MODELS_URLS.value, []) +# file_folder_name = f"{BuildingBucketFolders.MODELS.value}{building_name}/" +# remote_file_name = file_folder_name + {model_file.filename} +# new_model_url = BUILDING_BUCKET_URL_PREFIX + remote_file_name + +# if new_model_url in current_models_urls: +# raise HTTPException(status_code=400, detail=f"Model file already exists in the building's {BuildingColumns.MODELS_URLS.value}.") + +# # Upload the model file to Bucket Storage +# building_bucket_client.upload_model(model_file, remote_file_name) + +# # Update the building's models_urls in the database +# updated_urls = current_models_urls + [file_folder_name] +# update_response = building_metadata_client.table_request().update({BuildingColumns.MODELS_URLS.value: updated_urls}).eq(BuildingColumns.NAME.value, building_name).execute() +# return update_response \ No newline at end of file diff --git a/routers/buildings_router.py:Zone.Identifier b/routers/buildings_router.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/routers/buildings_router.py:Zone.Identifier differ diff --git a/routers/buildings_search_router.py b/routers/buildings_search_router.py new file mode 100644 index 0000000000000000000000000000000000000000..c92ce6810c3ecaa7e50a9f0772bd5c7c149b083f --- /dev/null +++ b/routers/buildings_search_router.py @@ -0,0 +1,44 @@ +from typing import List +from fastapi import APIRouter, File, Form, HTTPException, UploadFile, status +from fastapi.responses import Response +from myapp.database.vectors.building_client import building_vector_client +from myapp.database.buckets.building_client import building_bucket_client +from myapp.models.Building import BuildingColumns, BuildingSearch, Location +from myapp.search.search_utils import get_buildings_in_proximity, search_best_match + + +router = APIRouter( + prefix="/buildings_search", + tags=["buildings_search"] +) + + +@router.post( + "/find/", + response_description="Get building", + status_code=status.HTTP_200_OK, +) +async def find_historical_models(location = Form(...), building_image: UploadFile = File(...)): + """ + Search for place matching to photo + """ + lat, lon = map(float, location.split(",")) + location = Location(latitude=lat, longitude=lon) + + nearby_buildings: List[BuildingSearch] = get_buildings_in_proximity(location.latitude, location.longitude) + models_to_search = [building[BuildingColumns.MODEL_URL.value] for building in nearby_buildings] + + # if not models_to_search: + # raise HTTPException(status_code=404, detail="No nearby buildings found.") + + img_bytes = await building_image.read() + result_buildings = search_best_match(img_bytes, models_to_search, building_vector_client) + building_found_render_urls = [match["metadata"]["render_url"] for match in result_buildings if "metadata" in match and "render_url" in match["metadata"]] + + if not building_found_render_urls: + raise HTTPException(status_code=404, detail="No matching renders found.") + + image_url = building_found_render_urls[0] + image_file = building_bucket_client.get_file_by_url(image_url) + + return Response(content=image_file, media_type="image/png") diff --git a/routers/buildings_search_router.py:Zone.Identifier b/routers/buildings_search_router.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/routers/buildings_search_router.py:Zone.Identifier differ diff --git a/search/models/config.py b/search/models/config.py new file mode 100644 index 0000000000000000000000000000000000000000..22642295cbd65cb099da2251cc6061ed56421986 --- /dev/null +++ b/search/models/config.py @@ -0,0 +1,4 @@ +import torch + + +device = "cuda" if torch.cuda.is_available() else "cpu" diff --git a/search/models/config.py:Zone.Identifier b/search/models/config.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/models/config.py:Zone.Identifier differ diff --git a/search/models/depth_model.py b/search/models/depth_model.py new file mode 100644 index 0000000000000000000000000000000000000000..9a5714e77318c7df4b78d4e22107aa5217131c6b --- /dev/null +++ b/search/models/depth_model.py @@ -0,0 +1,7 @@ +from transformers import DPTImageProcessor, DPTForDepthEstimation +from myapp.search.models.config import device + + +depth_model_name = "Intel/dpt-hybrid-midas" +depth_processor = DPTImageProcessor.from_pretrained(depth_model_name) +depth_model = DPTForDepthEstimation.from_pretrained(depth_model_name).to(device) diff --git a/search/models/depth_model.py:Zone.Identifier b/search/models/depth_model.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/models/depth_model.py:Zone.Identifier differ diff --git a/search/models/edges_model.py b/search/models/edges_model.py new file mode 100644 index 0000000000000000000000000000000000000000..571da76dd1c7e3e95f2d75d71d426fd70a39837d --- /dev/null +++ b/search/models/edges_model.py @@ -0,0 +1,28 @@ +import torch +import torch.nn as nn +import torchvision.models as models +import torchvision.transforms as transforms + + +class ResNet512(nn.Module): + def __init__(self): + super(ResNet512, self).__init__() + resnet = models.resnet18(weights=models.ResNet18_Weights.DEFAULT) + self.features = nn.Sequential(*list(resnet.children())[:-1]) + self.fc = nn.Linear(resnet.fc.in_features, 512) + + def forward(self, x): + x = self.features(x) + x = torch.flatten(x, 1) + x = self.fc(x) + return x + +edges_model = ResNet512() +edges_model.eval() + + +edges_transform = transforms.Compose([ + transforms.Resize((224, 224)), + transforms.ToTensor(), + transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), +]) \ No newline at end of file diff --git a/search/models/edges_model.py:Zone.Identifier b/search/models/edges_model.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/models/edges_model.py:Zone.Identifier differ diff --git a/search/models/image_model.py b/search/models/image_model.py new file mode 100644 index 0000000000000000000000000000000000000000..c75a9e6db8ecc4f9380d0623de187b1954209dfb --- /dev/null +++ b/search/models/image_model.py @@ -0,0 +1,4 @@ +import clip +from myapp.search.models.config import device + +image_model, image_processor = clip.load("ViT-B/32", device=device) \ No newline at end of file diff --git a/search/models/image_model.py:Zone.Identifier b/search/models/image_model.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/models/image_model.py:Zone.Identifier differ diff --git a/search/models/segmentation_model.py b/search/models/segmentation_model.py new file mode 100644 index 0000000000000000000000000000000000000000..e292ad8830ee3811b31f430d3b809b76bc24a5b7 --- /dev/null +++ b/search/models/segmentation_model.py @@ -0,0 +1,8 @@ +from transformers import AutoImageProcessor, AutoModelForSemanticSegmentation +from myapp.search.models.config import device + + +seg_model_name = "nvidia/segformer-b0-finetuned-ade-512-512" +seg_processor = AutoImageProcessor.from_pretrained(seg_model_name, use_fast=True) +seg_model = AutoModelForSemanticSegmentation.from_pretrained(seg_model_name).to(device) +seg_model.config.output_hidden_states = True \ No newline at end of file diff --git a/search/models/segmentation_model.py:Zone.Identifier b/search/models/segmentation_model.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/models/segmentation_model.py:Zone.Identifier differ diff --git a/search/preprocess/constants.py b/search/preprocess/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..162bb1f92bad48d536bbed8a825cdbed1720f27e --- /dev/null +++ b/search/preprocess/constants.py @@ -0,0 +1,23 @@ +from enum import Enum + +class ADE20KModelBuildingRelatedClass(Enum): + WALL = 0 + BUILDING = 1 + FLOOR = 3 + CEILING = 5 + WINDOW = 8 + DOOR = 14 + CURTAIN = 18 + HOUSE = 25 + FENCE = 32 + WARDROBE = 35 + COLUMN = 42 + SKYSCRAPER = 48 + STAIRS = 53 + HUT = 79 + TOWER = 84 + SCULPTURE = 132 + CLOCK = 148 + + +BUILDING_CLASSES = {e.value for e in ADE20KModelBuildingRelatedClass} \ No newline at end of file diff --git a/search/preprocess/constants.py:Zone.Identifier b/search/preprocess/constants.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/preprocess/constants.py:Zone.Identifier differ diff --git a/search/preprocess/embed_models.py b/search/preprocess/embed_models.py new file mode 100644 index 0000000000000000000000000000000000000000..a40fefb98ddddb3f97ec69abf54616280d997225 --- /dev/null +++ b/search/preprocess/embed_models.py @@ -0,0 +1,27 @@ +import numpy as np +from myapp.search.preprocess.utils import apply_lightning_normalization, apply_perspective_correction, get_depth_map, get_edges_map, get_image_embeddings, get_segmentation_mask +from myapp.utils.image_utils import get_image_stream + + +def get_combined_embeddings(image_embedding: np.ndarray, + segmentation_embedding: np.ndarray, + edges_embedding: np.ndarray, + depth_embedding: np.ndarray): + combined_embedding = np.concatenate([image_embedding, + segmentation_embedding, + edges_embedding, + depth_embedding], axis=0) + + return combined_embedding + + +def process_building(image_bytes: bytes): + image = get_image_stream(image_bytes) + edges_embeddings, edges_map = get_edges_map(image) + segmentation_embeddings = get_segmentation_mask(image) + depth_embeddings = get_depth_map(image) + image = apply_perspective_correction(image, edges_map) + image = apply_lightning_normalization(image) + image_embeddings = get_image_embeddings(image) + embeddings = get_combined_embeddings(image_embeddings, segmentation_embeddings, edges_embeddings, depth_embeddings) + return embeddings.tolist() diff --git a/search/preprocess/embed_models.py:Zone.Identifier b/search/preprocess/embed_models.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/preprocess/embed_models.py:Zone.Identifier differ diff --git a/search/preprocess/utils.py b/search/preprocess/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..f75435916524eaa7ceca4e5f0ff36093d4c3aa39 --- /dev/null +++ b/search/preprocess/utils.py @@ -0,0 +1,147 @@ +import cv2 +import numpy as np +import torch +from PIL import Image +import torch.nn.functional as F +from myapp.search.models.config import device +from myapp.search.models.segmentation_model import seg_processor, seg_model +from myapp.search.models.depth_model import depth_processor, depth_model +from myapp.search.models.image_model import image_processor, image_model +from myapp.search.models.edges_model import edges_transform, edges_model + + +# DONE +def apply_lightning_normalization(image: Image.Image): + img_array = np.array(image) + lab = cv2.cvtColor(img_array, cv2.COLOR_RGB2LAB) + l, a, b = cv2.split(lab) + clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8,8)) + l = clahe.apply(l) + lab = cv2.merge((l,a,b)) + img_array = cv2.cvtColor(lab, cv2.COLOR_LAB2RGB) + image = Image.fromarray(img_array) + return image + + + +def apply_perspective_correction(image: Image.Image, edges_map) -> Image.Image: + img = np.array(image) + orig = img.copy() + + contours, _ = cv2.findContours(edges_map, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) + contours = sorted(contours, key=cv2.contourArea, reverse=True)[:5] + + for contour in contours: + perimeter = cv2.arcLength(contour, True) + approx = cv2.approxPolyDP(contour, 0.02 * perimeter, True) + + if len(approx) == 4: + screen_contour = approx + break + else: + return image + + pts = screen_contour.reshape(4, 2) + rect = _order_points(pts) + + + (tl, tr, br, bl) = rect + widthA = np.linalg.norm(br - bl) + widthB = np.linalg.norm(tr - tl) + heightA = np.linalg.norm(tr - br) + heightB = np.linalg.norm(tl - bl) + + maxWidth = int(max(widthA, widthB)) + maxHeight = int(max(heightA, heightB)) + + dst = np.array([ + [0, 0], + [maxWidth - 1, 0], + [maxWidth - 1, maxHeight - 1], + [0, maxHeight - 1] + ], dtype="float32") + + + matrix = cv2.getPerspectiveTransform(rect, dst) + warped = cv2.warpPerspective(orig, matrix, (maxWidth, maxHeight)) + + + return Image.fromarray(warped) + + +def _order_points(pts): + rect = np.zeros((4, 2), dtype="float32") + + s = pts.sum(axis=1) + rect[0] = pts[np.argmin(s)] + rect[2] = pts[np.argmax(s)] + + diff = np.diff(pts, axis=1) + rect[1] = pts[np.argmin(diff)] + rect[3] = pts[np.argmax(diff)] + + return rect + + +# DONE +def get_image_embeddings(image: Image.Image) -> np.ndarray: + tensor = image_processor(image).unsqueeze(0).cuda() + with torch.no_grad(): + embeddings = image_model.encode_image(tensor).cpu().numpy()[0] + return embeddings + + +# DONE chyba +def get_segmentation_mask(image: Image.Image) -> np.ndarray: + """Apply segmentation mask to keep only building areas.""" + inputs = seg_processor(image, return_tensors="pt").to(device) + + with torch.no_grad(): + outputs = seg_model(**inputs, output_hidden_states=True) + last_hidden_state = outputs.hidden_states[-1] + + averaged_features = torch.nn.functional.adaptive_avg_pool2d(last_hidden_state, (1, 1)) + vector = averaged_features.view(averaged_features.size(0), -1) + + linear_proj = torch.nn.Linear(256, 512).to(device) + vector_512 = linear_proj(vector) + + return vector_512[0].detach().cpu().numpy() + + +# DONE chyba +def get_edges_map(image: Image.Image) -> tuple[np.ndarray, np.ndarray]: + img_array = np.array(image) + edges = cv2.Canny(cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY), 100, 200) + edges_image_array = cv2.cvtColor(edges, cv2.COLOR_GRAY2RGB) + edges_image = Image.fromarray(edges_image_array) + + input_tensor = edges_transform(edges_image).unsqueeze(0) + + with torch.no_grad(): + embedding = edges_model(input_tensor) + + return embedding.squeeze(0).numpy(), edges + + +# DONE chyba +def get_depth_map(image: Image.Image) -> np.ndarray: + inputs = depth_processor(images=image, return_tensors="pt").to(device) + + with torch.no_grad(): + outputs = depth_model(**inputs) + predicted_depth = outputs.predicted_depth + + depth_resized = F.interpolate( + predicted_depth.unsqueeze(1), + size=(256, 256), + mode="bilinear", + align_corners=False + ).squeeze() + + depth_norm = (depth_resized - depth_resized.min()) / (depth_resized.max() - depth_resized.min() + 1e-12) + + flat = depth_norm.flatten() + vector_512 = F.adaptive_avg_pool1d(flat.unsqueeze(0).unsqueeze(0), 512).squeeze() + + return vector_512.cpu().numpy() \ No newline at end of file diff --git a/search/preprocess/utils.py:Zone.Identifier b/search/preprocess/utils.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/preprocess/utils.py:Zone.Identifier differ diff --git a/search/search_utils.py b/search/search_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..7a7a2f46e0755578a5e48a0f7b88b86e42e65893 --- /dev/null +++ b/search/search_utils.py @@ -0,0 +1,21 @@ +from typing import List +from myapp.database.metadata.config import DatabaseQueries, database_client +from myapp.database.vectors.client import DatabaseVectorClient +from myapp.search.preprocess.embed_models import process_building + + +def get_buildings_in_proximity(latitude: float, longitude: float, distance_meters=1000) -> list[dict]: + response = database_client.rpc( + DatabaseQueries.GET_NEARBY_PLACES.value, + {"latitude": latitude, "longitude": longitude, "distance_meters": distance_meters} + ).execute() + + return response.data + + +def search_best_match(img_bytes: bytes, models_in_proximity: List[str], vector_client: DatabaseVectorClient): + embeddings = process_building(img_bytes) + result = vector_client.search(embeddings, top_k=5, include_metadata=True, filter={ + "model_url": {"$in": models_in_proximity} + }) + return result["matches"] if "matches" in result else [] diff --git a/search/search_utils.py:Zone.Identifier b/search/search_utils.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/search/search_utils.py:Zone.Identifier differ diff --git a/test_utils/utils.py b/test_utils/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b881765aa8b53647961c62e4a9c0113e2bf72e6d --- /dev/null +++ b/test_utils/utils.py @@ -0,0 +1,57 @@ +import re +from PIL import Image +import io +import os + +TEST_PHOTOS_FOLDER = "/mnt/c/Users/KMult/Desktop/Praca_inzynierska/zdjecia_testowe/" +TEST_RESULTS_FOLDER = "./results" + + +def return_image_response(image: Image.Image): + from fastapi.responses import StreamingResponse + + buffer = io.BytesIO() + image.save(buffer, format="PNG") + buffer.seek(0) + return StreamingResponse(buffer, media_type="image/png") + + +def open_image(file_path: str) -> Image.Image: + image_path = os.path.join(TEST_PHOTOS_FOLDER, file_path) + + if not os.path.exists(image_path): + raise FileNotFoundError(f"File not found: {image_path}") + + try: + img = Image.open(image_path) + img.load() + return img + except OSError as e: + raise OSError(f"Could not open file as image: {image_path}") from e + + +def get_next_result_number(folder_path: str): + if not os.path.exists(folder_path): + return 1 + + numbers = [] + for filename in os.listdir(folder_path): + match = re.match(r"result(\d+)\.png", filename) + if match: + numbers.append(int(match.group(1))) + return max(numbers, default=0) + 1 + + +def save_result_file(image: Image.Image): + os.makedirs(TEST_RESULTS_FOLDER, exist_ok=True) + next_number = get_next_result_number(TEST_RESULTS_FOLDER) + output_path = os.path.join(TEST_RESULTS_FOLDER, f"result{next_number}.png") + + buffer = io.BytesIO() + image.save(buffer, format="PNG") + buffer.seek(0) + + with open(output_path, "wb") as f: + f.write(buffer.read()) + + print(f"Image saved to {output_path}") \ No newline at end of file diff --git a/test_utils/utils.py:Zone.Identifier b/test_utils/utils.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/test_utils/utils.py:Zone.Identifier differ diff --git a/utils/constants.py b/utils/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..054f4e79b5331a8f35ef32bf26c33bafe491af19 --- /dev/null +++ b/utils/constants.py @@ -0,0 +1,6 @@ +from enum import StrEnum + + +class ResultStatus(StrEnum): + SUCCESS = "success", + FAILURE = "failure" \ No newline at end of file diff --git a/utils/constants.py:Zone.Identifier b/utils/constants.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/utils/constants.py:Zone.Identifier differ diff --git a/utils/image_utils.py b/utils/image_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..752b936f273072a9161b8ef35e58cbb46876f9a0 --- /dev/null +++ b/utils/image_utils.py @@ -0,0 +1,15 @@ +import io +from PIL import Image +from myapp.database.buckets.config import BUCKET_STORAGE_PREFIX + +def remove_bucket_storage_prefix(url: str) -> str: + if url.startswith(BUCKET_STORAGE_PREFIX): + return url[len(BUCKET_STORAGE_PREFIX):] + return url + + +def get_image_stream(image_bytes: bytes): + return Image.open(io.BytesIO(image_bytes)).convert("RGB") + +def get_RGBA_image_stream(image_bytes: bytes): + return Image.open(io.BytesIO(image_bytes)).convert("RGBA") diff --git a/utils/image_utils.py:Zone.Identifier b/utils/image_utils.py:Zone.Identifier new file mode 100644 index 0000000000000000000000000000000000000000..d6c1ec682968c796b9f5e9e080cc6f674b57c766 Binary files /dev/null and b/utils/image_utils.py:Zone.Identifier differ