{"$set": {
"cics_loc": cics_loc
}})
#if not "nm_loc" in mp:
if "nm_geocode" in ml:
score = -1
nm_max = None
for nm in ml["nm_geocode"]:
if ("importance"
in nm) and (float(nm["importance"]) > score):
nm_max = nm
score = float(nm["importance"])
if nm_max:
nm_loc = {
"type": "Point",
"coordinates": [nm_max["lon"], nm_max["lat"]]
}
mandi_prices.update({"_id": mp["_id"]},
{"$set": {
"nm_loc": nm_loc
}})
if __name__ == "__main__":
config = get_config(get_env())
geocoder = Geocoder(config=config)
geocoder.check_mandi_locations()
geocoder.create_batch_geocodes()
"min_price": t["Min_x0020_Price"],
"modal_price": t["Modal_x0020_Price"],
"state": t["State"],
"variety": t["Variety"]
}
if "Commodity" in t:
obj["commodity"] = t["Commodity"]
elif "Column1" in t:
obj["commodity"] = t["Column1"]
else:
logger.warn("Commodity not found in %s" % t["@diffgr:id"])
continue
logger.debug("Inserted %s %s %s" %
(obj["commodity"], obj["market"], obj["arrival_date"]))
data.append(obj)
mongo_helper = MongoHelper(config)
mongo_helper.rename_collection("mandi_prices")
mongo_helper.save("mandi_prices", docs=data)
if __name__ == "__main__":
config = get_config(env=get_env())
xmlfile = download_file()
if xmlfile:
logger.info("Downloaded %s" % xmlfile)
run_ingest(config, xmlfile)
else:
logger.warn("Latest file %s already ingested" % xmlfile)
mandi_prices.update({"_id": mp["_id"]}, {"$set": {"cics_loc": cics_loc}})
if isinstance(ml["cics_geocode"], dict):
cics_loc = {
"type": "Point",
"coordinates": [float(ml["cics_geocode"]["@lng"]), float(ml["cics_geocode"]["@lat"])]
}
mandi_prices.update({"_id": mp["_id"]}, {"$set": {"cics_loc": cics_loc}})
#if not "nm_loc" in mp:
if "nm_geocode" in ml:
score = -1
nm_max = None
for nm in ml["nm_geocode"]:
if ("importance" in nm) and (float(nm["importance"]) > score):
nm_max = nm
score = float(nm["importance"])
if nm_max:
nm_loc = {
"type": "Point",
"coordinates": [nm_max["lon"], nm_max["lat"]]
}
mandi_prices.update({"_id": mp["_id"]}, {"$set": {"nm_loc": nm_loc}})
if __name__ == "__main__":
config = get_config(get_env())
geocoder = Geocoder(config=config)
geocoder.check_mandi_locations()
geocoder.create_batch_geocodes()
"max_price": t["Max_x0020_Price"],
"min_price": t["Min_x0020_Price"],
"modal_price": t["Modal_x0020_Price"],
"state": t["State"],
"variety": t["Variety"]
}
if "Commodity" in t:
obj["commodity"] = t["Commodity"]
elif "Column1" in t:
obj["commodity"] = t["Column1"]
else:
logger.warn("Commodity not found in %s" % t["@diffgr:id"])
continue
logger.debug("Inserted %s %s %s" % (obj["commodity"], obj["market"], obj["arrival_date"]))
data.append(obj)
mongo_helper = MongoHelper(config)
mongo_helper.rename_collection("mandi_prices")
mongo_helper.save("mandi_prices", docs=data)
if __name__ == "__main__":
config = get_config(env=get_env())
xmlfile = download_file()
if xmlfile:
logger.info("Downloaded %s" % xmlfile)
run_ingest(config, xmlfile)
else:
logger.warn("Latest file %s already ingested" % xmlfile)
# using Eve library to create rest api
# this file runs the eve application and declares additional endpoints
# for FB authentication
from flask import make_response, request, jsonify, json
from eve import Eve
from priceprobi.utils import get_env
from priceprobi.config import get_config
from auth import get_pp_user, PPApiBasicAuth
from priceprobi.utils import get_magic_user, Encoder
from . import crossdomain
__author__ = 'ujjwal'
#get environmnet DEVELOPMENT or PRODUCTION
env = get_env()
api_settings = get_config(env)
#instatiate Eve with dev or prod settings and basic http authentication
app = Eve(settings=api_settings, auth=PPApiBasicAuth)
#use custom json serialization since default flask serializer doesn't handle datetimes
app.json_encoder = Encoder
def _mandiprices_geojson(_items):
features = []
for _item in _items:
if "cics_loc" in _item:
properties = {
"_id": str(_item["_id"]),
