[CDC Data] Create Python venv in a single step (datacommonsorg#4762)

Previously, conflicting deps between importer requirements and NL
requirements could result in runtime errors.

build/cdc_data/Dockerfile

@@ -12,47 +12,31 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-# #### Stage 1: Build env for data importer. ####
-FROM python:3.11.4-slim as data-importer
 
-ARG PIP_DISABLE_PIP_VERSION_CHECK=1
-ARG PIP_NO_CACHE_DIR=1
+# #### Stage 1: Download base dc model from GCS. ####
+FROM google/cloud-sdk:slim as model-downloader
+
+# Copy model.
+RUN mkdir -p /tmp/datcom-nl-models \
+    && gsutil -m cp -R gs://datcom-nl-models/ft_final_v20230717230459.all-MiniLM-L6-v2/ /tmp/datcom-nl-models/
+
+
+# #### Stage 2: Copy required files. ####
+FROM python:3.11.4-slim as file-copier
 
 WORKDIR /workspace
 
-# Copy requirements.
+# Copy simple importer requirements.
 COPY import/simple/requirements.txt ./import/simple/requirements.txt
 
-# Create a virtual env and install requirements.
-RUN python -m venv /workspace/venv
-ENV PATH="/workspace/venv/bin:$PATH"
-RUN pip3 install -r ./import/simple/requirements.txt
-
 # Copy simple importer.
 COPY import/simple/ ./import/simple/
 
-
-# #### Stage 2: Build env for embeddings builder. ####
-FROM python:3.11.4-slim as embeddings-builder
-
-ARG PIP_DISABLE_PIP_VERSION_CHECK=1
-ARG PIP_NO_CACHE_DIR=1
-
-WORKDIR /workspace
-
-# Copy requirements.
+# Copy embeddings builder requirements.
 # Copy nl_requirements.txt since it is referenced by embeddings requirements.txt
 COPY tools/nl/embeddings/requirements.txt ./tools/nl/embeddings/requirements.txt
 COPY nl_requirements.txt ./nl_requirements.txt
 
-# Create a virtual env and install requirements.
-# Remove lancedb - it is not used by custom dc.
-RUN python -m venv ./venv
-ENV PATH="/workspace/venv/bin:$PATH"
-RUN sed -i'' '/lancedb/d' /workspace/nl_requirements.txt \
-    && pip3 install torch==2.2.2 --extra-index-url https://download.pytorch.org/whl/cpu \
-    && pip3 install -r ./tools/nl/embeddings/requirements.txt
-
 # Copy the embeddings builder module.
 COPY tools/nl/embeddings/. ./tools/nl/embeddings/
 # Copy the shared module.
@@ -63,15 +47,7 @@ COPY nl_server/. /workspace/nl_server/
 COPY deploy/nl/. /datacommons/nl/
 
 
-# #### Stage 3: Download base dc model from GCS. ####
-FROM google/cloud-sdk:slim as model-downloader
-
-# Copy model.
-RUN mkdir -p /tmp/datcom-nl-models \
-    && gsutil -m cp -R gs://datcom-nl-models/ft_final_v20230717230459.all-MiniLM-L6-v2/ /tmp/datcom-nl-models/
-
-
-# #### Stage 4: Runtime env. ####
+# #### Stage 3: Runtime env. ####
 FROM python:3.11.4-slim as runner
 
 ARG ENV
@@ -80,19 +56,27 @@ ENV ENV=${ENV}
 WORKDIR /workspace
 
 # Copy scripts, dependencies and files from the build stages.
-COPY --from=data-importer /workspace/ .
-COPY --from=embeddings-builder /workspace/ .
-COPY --from=embeddings-builder /datacommons/ /datacommons
+COPY --from=file-copier /workspace/ .
+COPY --from=file-copier /datacommons/ /datacommons
 COPY --from=model-downloader /tmp/datcom-nl-models /tmp/datcom-nl-models
 
+ARG PIP_DISABLE_PIP_VERSION_CHECK=1
+ARG PIP_NO_CACHE_DIR=1
+
+# Create a virtual env, add it to path, and install all requirements.
+RUN python -m venv /workspace/venv
+ENV PATH="/workspace/venv/bin:$PATH"
+RUN pip3 install -r ./import/simple/requirements.txt
+# Remove lancedb - it is not used by custom dc.
+RUN sed -i'' '/lancedb/d' /workspace/nl_requirements.txt \
+    && pip3 install torch==2.2.2 --extra-index-url https://download.pytorch.org/whl/cpu \
+    && pip3 install -r ./tools/nl/embeddings/requirements.txt
+
 # Copy executable script.
 COPY build/cdc_data/run.sh .
 
 # Make script executable.
 RUN chmod +x run.sh
 
-# Add virtual env to the path.
-ENV PATH="/workspace/venv/bin:$PATH"
-
 # Set the default command to run the script.
-CMD ./run.sh
+CMD ./run.sh