Refactor PSD extraction: simplify to latest-only + add R2 support

## Key Changes

1. **Simplified extraction logic**
   - Changed from downloading 220+ historical archives to checking only latest available month
   - Tries current month and falls back up to 3 months (handles USDA publication lag)
   - Architecture advisor insight: ETags naturally deduplicate, historical year/month structure was unnecessary

2. **Flat storage structure**
   - Old: `data/{year}/{month}/{etag}.zip`
   - New: `data/{etag}.zip` (local) or `psd/{etag}.zip` (R2)
   - Migrated 226 existing files to flat structure

3. **Dual storage modes**
   - **Local mode**: Downloads to local directory (development)
   - **R2 mode**: Uploads to Cloudflare R2 (production)
   - Mode determined by presence of R2 environment variables
   - Added boto3 dependency for S3-compatible R2 API

4. **Updated raw SQLMesh model**
   - Changed pattern from `**/*.zip` to `*.zip` to match flat structure

## Benefits

- Simpler: Single file check instead of 220+ URL attempts
- Efficient: ETag-based deduplication works naturally
- Flexible: Supports both local dev and production R2 storage
- Maintainable: Removed unnecessary complexity

## Testing

-  Local extraction works and respects ETags
-  Falls back correctly when current month unavailable
-  Linting passes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Deeman
2025-10-20 22:02:15 +02:00
parent 8729848731
commit 38897617e7
5 changed files with 163 additions and 27 deletions

View File

@@ -36,13 +36,24 @@ This is a uv workspace with three main components:
### 1. Extract Layer (`extract/`)
Contains extraction packages for pulling data from external sources.
- **`extract/psdonline/`**: Extracts USDA PSD commodity data from archives dating back to 2006
- **`extract/psdonline/`**: Extracts USDA PSD commodity data
- Entry point: `extract_psd` CLI command (defined in `extract/psdonline/src/psdonline/execute.py`)
- Downloads monthly zip archives to `extract/psdonline/src/psdonline/data/`
- Checks latest available monthly snapshot (tries current month and 3 months back)
- Uses ETags to avoid re-downloading unchanged files
- Storage modes:
- **Local mode** (no R2 credentials): Downloads to `extract/psdonline/src/psdonline/data/{etag}.zip`
- **R2 mode** (R2 credentials present): Uploads to `s3://bucket/psd/{etag}.zip`
- Flat structure: files named by ETag for natural deduplication
**Run extraction:**
```bash
extract_psd # Local mode (default)
# R2 mode (requires env vars: R2_ENDPOINT, R2_BUCKET, R2_ACCESS_KEY, R2_SECRET_KEY)
export R2_ENDPOINT=...
export R2_BUCKET=...
export R2_ACCESS_KEY=...
export R2_SECRET_KEY=...
extract_psd
```

View File

@@ -9,6 +9,7 @@ authors = [
requires-python = ">=3.13"
dependencies = [
"boto3>=1.40.55",
"niquests>=3.14.1",
"pendulum>=3.1.0",
]

View File

@@ -1,9 +1,12 @@
import logging
import os
import pathlib
import sys
from datetime import datetime
import boto3
import niquests
from botocore.exceptions import ClientError
logging.basicConfig(
level=logging.INFO,
@@ -17,14 +20,45 @@ logger = logging.getLogger("PSDOnline Extractor")
OUTPUT_DIR = pathlib.Path(__file__).parent / "data"
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
logger.info(f"Output dir: {OUTPUT_DIR}")
#TODO: adapt to environment values, so this writes to s3 in prod
# R2 configuration from environment
R2_ENDPOINT = os.getenv('R2_ENDPOINT')
R2_BUCKET = os.getenv('R2_BUCKET')
R2_ACCESS_KEY = os.getenv('R2_ACCESS_KEY')
R2_SECRET_KEY = os.getenv('R2_SECRET_KEY')
PSD_HISTORICAL_URL = "https://apps.fas.usda.gov/psdonline/downloads/archives/{year}/{month:02d}/psd_alldata_csv.zip"
FIRST_YEAR = 2006
FIRST_MONTH = 8
def extract_psd_file(url:str, extract_to_path: pathlib.Path, http_session: niquests.Session):
def check_r2_file_exists(etag: str, s3_client) -> bool:
"""Check if file exists in R2."""
r2_key = f"psd/{etag}.zip"
try:
s3_client.head_object(Bucket=R2_BUCKET, Key=r2_key)
logger.info(f"File {r2_key} already exists in R2, skipping")
return True
except ClientError as e:
if e.response['Error']['Code'] == '404':
return False
raise
def upload_to_r2(content: bytes, etag: str, s3_client):
"""Upload file content to R2."""
r2_key = f"psd/{etag}.zip"
logger.info(f"Uploading to R2: {r2_key}")
s3_client.put_object(Bucket=R2_BUCKET, Key=r2_key, Body=content)
logger.info("Upload complete")
def extract_psd_file(url: str, extract_to_path: pathlib.Path, http_session: niquests.Session, s3_client=None):
"""
Extract PSD file either to local storage or R2.
If s3_client is provided, uploads to R2 only (no local storage).
If s3_client is None, downloads to local storage.
"""
logger.info(f"Requesting file {url} ...")
extracted_etags = [file.stem for file in OUTPUT_DIR.rglob("*.zip")]
response = http_session.head(url)
if response.status_code == 404:
@@ -33,34 +67,73 @@ def extract_psd_file(url:str, extract_to_path: pathlib.Path, http_session: nique
elif response.status_code != 200:
logger.error(f"Status code not ok, STATUS={response.status_code}")
return
etag = response.headers.get("etag").replace('"',"").replace(":","_")
if etag in extracted_etags:
logger.info("File already extracted, skipping download.")
return
else:
# R2 mode: check R2 and upload if needed
if s3_client:
if check_r2_file_exists(etag, s3_client):
return
response = http_session.get(url)
extract_to_path = extract_to_path / f"{etag}.zip"
logger.info(f"Storing file to {extract_to_path}")
extract_to_path.parent.mkdir(parents=True, exist_ok=True)
extract_to_path.write_bytes(response.content)
logger.info("Download done.")
upload_to_r2(response.content, etag, s3_client)
return
# Local mode: check local and download if needed
local_file = extract_to_path / f"{etag}.zip"
if local_file.exists():
logger.info(f"File {etag}.zip already exists locally, skipping")
return
response = http_session.get(url)
logger.info(f"Storing file to {local_file}")
extract_to_path.mkdir(parents=True, exist_ok=True)
local_file.write_bytes(response.content)
logger.info("Download complete")
def extract_psd_dataset():
today = datetime.now()
years = list(range(FIRST_YEAR, today.year+1))
for year in years:
months = list(range(1,13))
if year == FIRST_YEAR:
months = list(range(FIRST_MONTH, 13))
if year == years[-1]:
months = list(range(1, today.month+1))
logger.info(f"Year {year}, extracting months: {months}")
for month in months:
# Check if R2 credentials are configured
use_r2 = all([R2_ENDPOINT, R2_BUCKET, R2_ACCESS_KEY, R2_SECRET_KEY])
if use_r2:
logger.info("R2 credentials found, uploading to R2")
s3_client = boto3.client(
's3',
endpoint_url=R2_ENDPOINT,
aws_access_key_id=R2_ACCESS_KEY,
aws_secret_access_key=R2_SECRET_KEY
)
else:
logger.info("R2 credentials not found, downloading to local storage")
s3_client = None
# Try current month and previous 3 months (USDA data is published with lag)
with niquests.Session() as session:
for months_back in range(4):
year = today.year
month = today.month - months_back
# Handle year rollover
while month < 1:
month += 12
year -= 1
url = PSD_HISTORICAL_URL.format(year=year, month=month)
target_dir = OUTPUT_DIR / f"{year}"/f"{month:02d}"
with niquests.Session() as session:
extract_psd_file(url=url, http_session=session, extract_to_path=target_dir)
logger.info(f"Trying {year}-{month:02d}...")
# Check if URL exists
response = session.head(url)
if response.status_code == 200:
logger.info(f"Found latest data at {year}-{month:02d}")
extract_psd_file(url=url, http_session=session, extract_to_path=OUTPUT_DIR, s3_client=s3_client)
return
elif response.status_code == 404:
logger.info(f"Month {year}-{month:02d} not found, trying earlier...")
else:
logger.warning(f"Unexpected status code {response.status_code} for {year}-{month:02d}")
logger.error("Could not find any available data in the last 4 months")
if __name__ == "__main__":

View File

@@ -21,4 +21,4 @@ MODEL (
)
);
SELECT *
FROM read_csv('zip://extract/psdonline/src/psdonline/data/**/*.zip/*.csv', header=true, union_by_name=true, filename=true, names = ['commodity_code', 'commodity_description', 'country_code', 'country_name', 'market_year', 'calendar_year', 'month', 'attribute_id', 'attribute_description', 'unit_id', 'unit_description', 'value'], all_varchar=true)
FROM read_csv('zip://extract/psdonline/src/psdonline/data/*.zip/*.csv', header=true, union_by_name=true, filename=true, names = ['commodity_code', 'commodity_description', 'country_code', 'country_name', 'market_year', 'calendar_year', 'month', 'attribute_id', 'attribute_description', 'unit_id', 'unit_description', 'value'], all_varchar=true)

51
uv.lock generated
View File

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[[package]]
name = "json-stream"
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@@ -1225,12 +1262,14 @@ name = "psdonline"
version = "0.1.0"
source = { editable = "extract/psdonline" }
dependencies = [
{ name = "boto3" },
{ name = "niquests" },
{ name = "pendulum" },
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