#!/usr/bin/env python """ Greynir: Natural language processing for Icelandic Parser test module Copyright (c) 2015 Vilhjalmur Thorsteinsson All rights reserved See the accompanying README.md file for further licensing and copyright information. """ import time from contextlib import closing # Import the Psycopg2 connector for PostgreSQL try: # For CPython import psycopg2.extensions as psycopg2ext import psycopg2 except ImportError: # For PyPy import psycopg2cffi.extensions as psycopg2ext import psycopg2cffi as psycopg2 from tokenizer import tokenize from grammar import Nonterminal, Terminal, Token, Production from fastparser import Fast_Parser, ParseError, ParseForestPrinter from settings import Settings, ConfigError # Make Psycopg2 and PostgreSQL happy with UTF-8 psycopg2ext.register_type(psycopg2ext.UNICODE) psycopg2ext.register_type(psycopg2ext.UNICODEARRAY) class Test_DB: """ Encapsulates a database of test sentences and results """ MAXINT = 2 ** 31 - 1 # Maximum for PostgreSQL integer type def __init__(self): """ Initialize DB connection instance """ self._conn = None # Connection self._c = None # Cursor @classmethod def open_db(cls): """ Return an open instance of the database on the default host """ return cls().open(Settings.DB_HOSTNAME) def open(self, host): """ Open and initialize a database connection """ self._conn = psycopg2.connect(dbname="test", user="reynir", password="reynir", host=host, client_encoding="utf8") if not self._conn: raise Exception("Unable to open connection to database at host " + host) # Ask for automatic commit after all operations # We're doing only reads, so this is fine and makes things less complicated self._conn.autocommit = True self._c = self._conn.cursor() return None if self._c is None else self def close(self): """ Close the DB connection and the associated cursor """ self._c.close() self._conn.close() self._c = self._conn = None def create_sentence_table(self): """ Create a fresh test sentence table if it doesn't already exist """ assert self._c is not None self._c.execute("CREATE TABLE sentences (id serial PRIMARY KEY, sentence varchar, numtrees int, best int, target int);") return True def add_sentence(self, sentence, numtrees = 0, best = -1, target = 1): """ Add a sentence to the test sentence table """ assert self._c is not None self._c.execute("INSERT INTO sentences (sentence, numtrees, best, target) VALUES (%s, %s, %s, %s);", [ sentence, min(numtrees, self.MAXINT), min(best, self.MAXINT), target ]) return True def update_sentence(self, identity, sentence, numtrees = 0, best = -1, target = 1): """ Update a sentence and its statistics in the table """ assert self._c is not None self._c.execute("UPDATE sentences SET (sentence, numtrees, best, target) = (%s, %s, %s, %s) WHERE id = %s;", [ sentence, min(numtrees, self.MAXINT), min(best, self.MAXINT), target, identity ]) return True def delete_sentence(self, identity): """ Delete a sentence from the table """ assert self._c is not None self._c.execute("DELETE FROM sentences WHERE id = %s;", [ identity ]) return True def sentences(self): """ Return a list of all test sentences in the database """ assert self._c is not None m = [ ] try: self._c.execute("SELECT id, sentence, numtrees, best, target FROM sentences ORDER BY id;") t = self._c.fetchall() m = [ dict( identity = r[0], sentence = r[1], numtrees = r[2], best = r[3], target = r[4]) for r in t] except psycopg2.DataError as e: # Fall through with empty m pass return m def test1(): # Test grammar 1 print("------ Test 1 ---------") # Abbreviations NT = Nonterminal TERM = Terminal # Hard-coded test case - grammar not read from file E = NT ('E') T = NT ('T') P = NT ('P') plus = TERM ('+') mult = TERM ('*') ident = TERM ('ident') g = { E: [Production(rhs=[E,plus,T]), Production(rhs=[T])], T: [Production(rhs=[T,mult,P]), Production(rhs=[P])], P: [Production(rhs=[ident])], } p = Parser(g, E) s = [ Token('ident', 'a'), Token('*', '*'), Token('ident', 'b'), Token('+', '+'), Token('ident', 'c'), Token('*', '*'), Token('ident', 'd'), Token('+', '+'), Token('ident', 'e'), Token('+', '+'), Token('ident', 'f') ] forest = p.go(s) print("Parse combinations: {0}".format(Parser.num_combinations(forest))) ParseForestPrinter.print_forest(forest) def run_test(fast_p): """ Run a test parse on all sentences in the test table """ with closing(Test_DB.open_db()) as db: slist = db.sentences() for s in slist: txt = s["sentence"] target = s["target"] # The ideal number of parse trees (1 or 0) tokens = tokenize(txt) tlist = list(tokens) err = "" # Run the all-Python parser #try: # t0 = time.time() # forest = p.go(tlist) #except ParseError as e: # err = "{0}".format(e) # forest = None #finally: # t1 = time.time() # ParseForestPrinter.print_forest(p.grammar, forest, detailed = True) # Run the C++ parser try: tf0 = time.time() forest2 = fast_p.go(tlist) except ParseError as e: err = "{0}".format(e) forest2 = None finally: tf1 = time.time() # num = 0 if forest is None else Parser.num_combinations(forest) num2 = 0 if forest2 is None else Fast_Parser.num_combinations(forest2) if Settings.DEBUG: #print("Python: Parsed in {0:.4f} seconds, {1} combinations".format(t1 - t0, num)) print("C++: Parsed in {0:.4f} seconds, {1} combinations".format(tf1 - tf0, num2)) best = s["best"] if best <= 0 or abs(target - num2) < abs(target - best): # We are closer to the ideal number of parse trees (target) than # the best parse so far: change the best one best = num2 db.update_sentence(s["identity"], s["sentence"], num2, best, target) yield dict( identity = s["identity"], sentence = txt, numtrees = num2, best = best, target = target, parse_time = tf1 - tf0, err = "" if target == 0 else err, # Don't bother showing errors that are expected forest = forest2 ) #break # !!! DEBUG: only do one loop def test3(): print("\n\n------ Test 3 ---------") # p = BIN_Parser(verbose = False) # Don't emit diagnostic messages with Fast_Parser(verbose = False) as fast_p: g = fast_p.grammar print("Reynir.grammar has {0} nonterminals, {1} terminals, {2} productions" .format(g.num_nonterminals, g.num_terminals, g.num_productions)) # g.follow_set(g.root) # return # Dump the grammar # print("\n" + str(g)) def create_sentence_table(): """ Only used to create a test fresh sentence table if one doesn't exist """ with closing(Test_DB.open_db()) as db: try: db.create_sentence_table() TEXTS = [ "Páll fór út með stóran kött og Jón keypti heitan graut.", "Unga fallega konan frá Garðabæ elti ljóta og feita karlinn rösklega og fumlaust í svörtu myrkrinu", "Kötturinn sem strákurinn átti veiddi feitu músina", "Gamla bláa kommóðan var máluð fjólublá með olíumálningu", "Landsframleiðslan hefur aukist frá því í fyrra", "Guðmundur og Guðrún kusu Framsóknarflokkinn", "Þú skalt fara til Danmerkur.", "Ég og þú fórum til Frakklands í utanlandsferð", "Stóru bláu könnunni mun hafa verið fleygt í ruslið", "Már Guðmundsson segir margskonar misskilnings gæta hjá Hannesi Hólmsteini", "Már Guðmundsson seðlabankastjóri Íslands segir þetta við Morgunblaðið í dag.", "Það er náttúrlega einungis í samfélögum sem eiga við býsna stór vandamál að stríða " + \ "að ný stjórnmálaöfl geta snögglega sveiflast upp í þriðjungs fylgi.", "Áætlaður kostnaður verkefnisins var tíu milljónir króna og áætluð verklok eru í byrjun september næstkomandi.", "Pakkinn snerist um að ábyrgjast innlán og skuldabréfaútgáfu danskra fjármálafyrirtækja.", "Kynningarfundurinn sem ég hélt í dag fjallaði um lausnina á þessum vanda.", "Kynningarfundurinn sem haldinn var í dag fjallaði um lausnina á þessum vanda.", "Það sakamál sé til meðferðar við Héraðsdóm Suðurlands." ] for t in TEXTS: db.add_sentence(t) slist = db.sentences() for s in slist: print("{0}".format(s)) except Exception as e: print("{0}".format(e)) for test in run_test(fast_p): print("\n'{0}'\n{1} parse trees found in {2:.3f} seconds\n" .format(test["sentence"], test["numtrees"], test["parse_time"])) if test["numtrees"] > 0: # ParseForestPrinter.print_forest(test["forest"]) # print("{0}".format(Parser.make_schema(test["forest"]))) pass elif test["err"]: print("Error: {0}".format(test["err"])) # fast_p is automatically cleaned up via the context manager protocol if __name__ == "__main__": # Read the configuration settings file try: Settings.read("config/Greynir.conf") except ConfigError as e: print("Configuration error: {0}".format(e)) quit() # Run the tests # test1() # test2() import cProfile as profile import pstats filename = 'Reynir.profile' profile.run('test3()', filename) stats = pstats.Stats(filename) # Clean up filenames for the report stats.strip_dirs() # Sort the statistics by the total time spent in the function itself stats.sort_stats('tottime') stats.print_stats(100) # Print 100 most significant lines