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Source code for apis_core.utils.pylobid

-import requests
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-

-[docs]
-def create_qs(row, cell, q_field="dateOfBirth", char_limit=0):
-    """turns the value of the cell into a lobid-querystring"""
-    try:
-        if len(row[cell]) > char_limit:
-            qs = "{}:{} ".format(q_field, row[cell])
-        else:
-            qs = "{}:{}*".format(q_field, row[cell])
-    except:
-        qs = ""
-    return qs

-
-
-
-

-[docs]
-def lobid_qs(
-    row, q_field="name", add_fields=[], base_url="https://lobid.org/gnd/search?q="
-):
-    """creates a lobid query string from the passed in fields"""
-    search_url = base_url + row[q_field] + "&filter=type:Person"
-    if add_fields:
-        filters = []
-        for x in add_fields:
-            if x:
-                filters.append(row[x])
-        search_url = "{} AND {}".format(search_url, "AND ".join(filters))
-    return search_url

-
-
-
-

-[docs]
-def search_lobid(row, qs_field="query"):
-    """sends the value of the passed in field to lobid and returns the results in a dict"""
-    query = row[qs_field]
-    result = {"query": query, "status": 0, "error": "", "hits": 0, "gnd": []}
-    r = requests.get(query)
-    try:
-        r = requests.get(query)
-    except requests.ConnectionError:
-        result["error"] = "Connection Error"
-        return result
-    if r:
-        if r.status_code == 200:
-            result["status"] = r.status_code
-            result["hits"] = r.json()["totalItems"]
-            if result["hits"] == 0:
-                gnd = []
-                print("zero hits")
-            elif result["hits"] == 1:
-                print("one hit")
-                result["gnd"] = [r.json()["member"][0]["gndIdentifier"]]
-            else:
-                print("{} hits".format(result["hits"]))
-                result["gnd"] = [x["gndIdentifier"] for x in r.json()["member"]]
-        else:
-            result["status"] = r.status_code
-    return result

-
-
-
-# do something like below to enrich a csv with lobid
-
-# import pandas as pd
-# from pylobid import *
-#
-# file = "dump_from_gsheet/ASBW_persName.csv"
-# df = pd.read_csv(file)
-# df['dateOfBirth'] = df.apply(
-#     lambda row: create_qs(row, 'Geburtsdatum', q_field="dateOfBirth", char_limit=4),
-#     axis=1
-# )
-# df['dateOfDeath'] = df.apply(
-#     lambda row: create_qs(row, 'Todesdatum', q_field="dateOfDeath", char_limit=4),
-#     axis=1
-# )
-# df['forename'] = df.apply(
-#     lambda row: create_qs(
-#         row, 'Vorname', q_field="preferredNameEntityForThePerson.forename", char_limit=0
-#     ),
-#     axis=1
-# )
-# df['surname'] = df.apply(
-#     lambda row: create_qs(
-#         row, 'Nachname', q_field="preferredNameEntityForThePerson.surname", char_limit=0
-#     ),
-#     axis=1
-# )
-# df['query'] = df.apply(
-#     lambda row: lobid_qs(row, add_fields=['forename', 'dateOfBirth', 'dateOfDeath']),
-#     axis=1
-# )
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