refactor: move query parameter extraction function out of flask app

This commit is contained in:
2026-03-02 18:29:09 +00:00
parent 37cb2c9ff4
commit 5ea71023b5
3 changed files with 69 additions and 63 deletions

View File

@@ -16,6 +16,7 @@ from server.stat_gen import StatGen
from server.dataset_processor import DatasetProcessor
from db.database import PostgresConnector
from server.auth import AuthManager
from server.utils import get_request_filters, parse_datetime_filter
import pandas as pd
import traceback
@@ -43,56 +44,6 @@ auth_manager = AuthManager(db, bcrypt)
stat_gen = StatGen()
def _parse_datetime_filter(value):
if not value:
return None
try:
return datetime.datetime.fromisoformat(value)
except ValueError:
try:
return datetime.datetime.fromtimestamp(float(value))
except ValueError as err:
raise ValueError(
"Date filters must be ISO-8601 strings or Unix timestamps"
) from err
def _get_request_filters() -> dict:
filters = {}
search_query = request.args.get("search_query") or request.args.get("query")
if search_query:
filters["search_query"] = search_query
start_date = _parse_datetime_filter(
request.args.get("start_date") or request.args.get("start")
)
if start_date:
filters["start_date"] = start_date
end_date = _parse_datetime_filter(
request.args.get("end_date") or request.args.get("end")
)
if end_date:
filters["end_date"] = end_date
data_sources = request.args.getlist("data_sources")
if not data_sources:
data_sources = request.args.getlist("sources")
if len(data_sources) == 1 and "," in data_sources[0]:
data_sources = [
source.strip() for source in data_sources[0].split(",") if source.strip()
]
if data_sources:
filters["data_sources"] = data_sources
return filters
@app.route("/register", methods=["POST"])
def register_user():
data = request.get_json()
@@ -212,7 +163,8 @@ def get_dataset(dataset_id):
if dataset_content.empty:
return jsonify({"error": "Dataset content not found"}), 404
return jsonify(dataset_content.to_dict(orient="records")), 200
filters = get_request_filters()
return jsonify(stat_gen.filter_dataset(dataset_content, filters)), 200
@app.route("/dataset/<int:dataset_id>/content", methods=["GET"])
@@ -226,7 +178,7 @@ def content_endpoint(dataset_id):
dataset_content = db.get_dataset_content(dataset_id)
try:
filters = _get_request_filters()
filters = get_request_filters()
return jsonify(stat_gen.get_content_analysis(dataset_content, filters)), 200
except ValueError as e:
return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
@@ -247,7 +199,7 @@ def get_summary(dataset_id):
dataset_content = db.get_dataset_content(dataset_id)
try:
filters = _get_request_filters()
filters = get_request_filters()
return jsonify(stat_gen.summary(dataset_content, filters)), 200
except ValueError as e:
return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
@@ -268,7 +220,7 @@ def get_time_analysis(dataset_id):
dataset_content = db.get_dataset_content(dataset_id)
try:
filters = _get_request_filters()
filters = get_request_filters()
return jsonify(stat_gen.get_time_analysis(dataset_content, filters)), 200
except ValueError as e:
return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
@@ -289,7 +241,7 @@ def get_user_analysis(dataset_id):
dataset_content = db.get_dataset_content(dataset_id)
try:
filters = _get_request_filters()
filters = get_request_filters()
return jsonify(stat_gen.get_user_analysis(dataset_content, filters)), 200
except ValueError as e:
return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
@@ -310,7 +262,7 @@ def get_cultural_analysis(dataset_id):
dataset_content = db.get_dataset_content(dataset_id)
try:
filters = _get_request_filters()
filters = get_request_filters()
return jsonify(stat_gen.get_cultural_analysis(dataset_content, filters)), 200
except ValueError as e:
return jsonify({"error": f"Malformed or missing data: {str(e)}"}), 400
@@ -331,7 +283,7 @@ def get_interaction_analysis(dataset_id):
dataset_content = db.get_dataset_content(dataset_id)
try:
filters = _get_request_filters()
filters = get_request_filters()
return jsonify(
stat_gen.get_interactional_analysis(dataset_content, filters)
), 200