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- # Questo NON è parte del codice: è un notebook Jupyter (nell'implementazione di VSCode)
- # che ho usato per fare dei test!
- # %%
- # Test code using Jupyter
- # %%
- import sqlite3
- import pandas as pd
- import unicodedata
- import sys
- #%% funzione combinazioni <> è chiamata da interpreter
- def combinations(s):
- result = []
- start = s.find("<")
- end = s.find(">")
- if start == -1 or end == -1:
- return [s]
- items = s[start + 1:end].split(",")
- for item in items:
- result.extend([s[:start] + item + rest for rest in combinations(s[end + 1:])])
- return result
- #%% funzione interprete, sta alla base di ogni ricerca
- def interpreter (data):
- clean_data= "'"+data.replace("*", "%").replace("?", "_").replace(" ","").replace("'", "''").replace("’", "''") +"'"
- return combinations(clean_data)
-
- # %% funzione iniziale raddoppiata, è chiamata dalle funzioni di ricerca con iniziale raddoppiata
- def inizialeraddoppiata (data):
- doubleddata=[]
- for el in data:
- if el[1] != "%" and "_":
- doubleddata = doubleddata + ["'"+ el[1] + el[1:]]
- return doubleddata
- # %% funzione normalizza stringa (ricerca espansa), è chiamata dalle funzioni di ricerca espansa
- def normalize(stringa):
- return unicodedata.normalize('NFKD', stringa).encode('ASCII', 'ignore').decode('utf-8')
- def list_normalize(lista):
- return [normalize(stringa) for stringa in lista]
- # %% funzione counter, può essere chiamata sui risultati delle ricerche per visualizzare le forme/lemmi e il numero di occorrenze individuate
- def counter (results):
- if not results.empty:
- trovati= len(results.index)
- occorrenze= results['occ'].sum()
- return ("Trovati=" + str(trovati) + " Occorrenze=" + str(occorrenze))
- #%% Funzione ricerca per forme
- def ricercaforme (entries, path, espansa, raddoppiata):
- if espansa == 0:
- data=" OR spec LIKE ".join(entries)
- doubleddata=" OR spec LIKE ".join(inizialeraddoppiata(entries))
-
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT spec AS forma, nocc AS occ, cod FROM form WHERE spec LIKE {data} OR spec LIKE {doubleddata} ORDER BY idfor"
- else:
- theSimpleQuery = f"SELECT spec AS forma, nocc AS occ, cod FROM form WHERE spec LIKE {data} ORDER BY idfor"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- else:
- data=" OR spec LIKE ".join(entries)
- data_norm=" OR norm LIKE ".join(list_normalize(entries))
- doubleddata_norm=" OR norm LIKE ".join(list_normalize(inizialeraddoppiata(entries)))
- doubleddata=" OR spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT DISTINCT spec AS forma, nocc AS occ, cod FROM form WHERE (spec LIKE {data}) OR (norm LIKE {data_norm}) OR (spec LIKE {doubleddata}) OR (norm LIKE {doubleddata_norm}) ORDER BY idfor"
- else:
- theSimpleQuery = f"SELECT DISTINCT spec AS forma, nocc AS occ, cod FROM form WHERE (spec LIKE {data}) OR (norm LIKE {data_norm}) ORDER BY idfor"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- #%% Funzione ricerca per lemmi
- def ricercalemmi (entries, path, espansa, raddoppiata):
- if espansa == 0:
- data = " OR spec LIKE ".join(entries)
- doubleddata = " OR spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT spec AS lemma, cat AS cat_gr, omo AS disambiguatore, nocc AS occ, cod FROM lem WHERE spec LIKE {data} OR spec LIKE {doubleddata} ORDER BY idlem"
- else:
- theSimpleQuery = f"SELECT spec AS lemma, cat AS cat_gr, omo AS disambiguatore, nocc AS occ, cod FROM lem WHERE spec LIKE {data} ORDER BY idlem"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- else:
- data = " OR spec LIKE ".join(entries)
- data_norm = " OR norm LIKE ".join(list_normalize(entries))
- doubleddata_norm = " OR norm LIKE ".join(list_normalize(inizialeraddoppiata(entries)))
- doubleddata = " OR spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT DISTINCT spec AS lemma, cat AS cat_gr, omo AS disambiguatore, nocc AS occ, cod FROM lem WHERE (spec LIKE {data}) OR (norm LIKE {data_norm}) OR (spec LIKE {doubleddata}) OR (norm LIKE {doubleddata_norm}) ORDER BY idlem"
- else:
- theSimpleQuery = f"SELECT DISTINCT spec AS lemma, cat AS cat_gr, omo AS disambiguatore, nocc AS occ, cod FROM lem WHERE (spec LIKE {data}) OR (norm LIKE {data_norm}) ORDER BY idlem"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- #%% Funzione ricerca di forme con vista lemmi
- def ricercaformelemmi (entries, path, espansa, raddoppiata):
- if espansa == 0:
- data = " OR form.spec LIKE ".join(entries)
- doubleddata = " OR form.spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT form.spec AS forma, lem.spec AS lemma, lem.cat AS cat_gr, lem.omo AS disambiguatore, pfl.nocc AS occ, form.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod = pfl.lemma WHERE form.spec LIKE {data} OR form.spec LIKE {doubleddata} ORDER BY form.idfor"
- else:
- theSimpleQuery = f"SELECT form.spec AS forma, lem.spec AS lemma, lem.cat AS cat_gr, lem.omo AS disambiguatore, pfl.nocc AS occ, form.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod = pfl.lemma WHERE form.spec LIKE {data} ORDER BY form.idfor"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- else:
- data = " OR form.spec LIKE ".join(entries)
- data_norm = " OR form.norm LIKE ".join(list_normalize(entries))
- doubleddata_norm = " OR form.norm LIKE ".join(list_normalize(inizialeraddoppiata(entries)))
- doubleddata = " OR form.spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT DISTINCT form.spec AS forma, lem.spec AS lemma, lem.cat AS cat_gr, lem.omo AS disambiguatore, pfl.nocc AS occ, form.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod = pfl.lemma WHERE (form.spec LIKE {data}) OR (form.norm LIKE {data_norm}) OR (form.spec LIKE {doubleddata}) OR (form.norm LIKE {doubleddata_norm}) ORDER BY form.idfor"
- else:
- theSimpleQuery = f"SELECT DISTINCT form.spec AS forma, lem.spec AS lemma, lem.cat AS cat_gr, lem.omo AS disambiguatore, pfl.nocc AS occ, form.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod = pfl.lemma WHERE (form.spec LIKE {data}) OR (form.norm LIKE {data_norm}) ORDER BY form.idfor"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- #%% Funzione ricerca lemmi con vista forme
- def ricercalemmiforme (entries, path, espansa, raddoppiata):
- if espansa == 0:
- data = " OR form.spec LIKE ".join(entries)
- doubleddata = " OR form.spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT lem.spec AS lemma, lem.cat AS cat_gr, form.spec AS forma, lem.omo AS disambiguatore, pfl.nocc AS occ, lem.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod != 0 AND lem.cod = pfl.lemma WHERE lem.spec LIKE {data} OR form.spec LIKE {doubleddata} ORDER BY lem.idlem"
- else:
- theSimpleQuery = f"SELECT lem.spec AS lemma, lem.cat AS cat_gr, form.spec AS forma, lem.omo AS disambiguatore, pfl.nocc AS occ, lem.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod != 0 AND lem.cod = pfl.lemma WHERE lem.spec LIKE {data} ORDER BY lem.idlem"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- else:
- data = " OR lem.spec LIKE ".join(entries)
- data_norm = " OR lem.norm LIKE ".join(list_normalize(entries))
- doubleddata_norm = " OR lem.norm LIKE ".join(list_normalize(inizialeraddoppiata(entries)))
- doubleddata = " OR lem.spec LIKE ".join(inizialeraddoppiata(entries))
- if raddoppiata == 1:
- theSimpleQuery = f"SELECT DISTINCT lem.spec AS lemma, lem.cat AS cat_gr, form.spec AS forma, lem.omo AS disambiguatore, pfl.nocc AS occ, lem.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod = pfl.lemma WHERE (lem.spec LIKE {data}) OR (lem.norm LIKE {data_norm}) OR (lem.spec LIKE {doubleddata}) OR (lem.norm LIKE {doubleddata_norm}) ORDER BY lem.idlem"
- else:
- theSimpleQuery = f"SELECT DISTINCT lem.spec AS lemma, lem.cat AS cat_gr, form.spec AS forma, lem.omo AS disambiguatore, pfl.nocc AS occ, lem.cod FROM pfl INNER JOIN form ON form.cod = pfl.forma INNER JOIN lem ON lem.cod = pfl.lemma WHERE (lem.spec LIKE {data}) OR (lem.norm LIKE {data_norm}) ORDER BY lem.idlem"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
- # %% Ricerca per categorie grammaticali
- def ricercacatgr (entry, path):
- theSimpleQuery = f"SELECT spec AS lemma, cat AS cat_gr, omo AS disambiguatore, nocc AS occ, cod FROM lem WHERE cat = '{entry}' ORDER BY idlem"
- con = sqlite3.connect(f"file:{path}/test1.db?mode=ro", uri=True)
- answer_table = pd.read_sql(theSimpleQuery, con)
- if answer_table.empty:
- print ("Nessun risultato")
- sys.exit(1)
- else:
- return answer_table
-
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