saving recipe id

Tagging/conllu_batch_generator.py

@@ -11,6 +11,8 @@ import numpy as np
 sys.path.insert(0, '..')
 import settings  # noqa
 
+import gzip
+
 
 class ConlluSentenceIterator(object):
     def __init__(self, conllu_reader):
@@ -19,7 +21,12 @@ class ConlluSentenceIterator(object):
         self._open()
     
     def _open(self):
+        if self.conllu_reader._path.endswith(".gz"):
+            self._fileobj = gzip.open(self.conllu_reader._path, 'r')
+            self._nextline = self.read_byte_line
+        else:
             self._fileobj = open(self.conllu_reader._path, 'r')
+            self._nextline = self.read_str_line
 
     def __next__(self):
         next_sent = self.next_sentence()
@@ -27,10 +34,16 @@ class ConlluSentenceIterator(object):
             raise StopIteration
         return next_sent
     
+    def read_str_line(self):
+        return self._fileobj.readline()
+    
+    def read_byte_line(self):
+        return self._fileobj.readline().decode("utf-8")
+
     def next_sentence(self):
         data = ""
         while True:
-            line = self._fileobj.readline()
+            line = self._nextline()
             if line == "":
                 break
             data += line
@@ -54,13 +67,24 @@ class ConlluDocumentIterator(object):
         self._open()
     
     def _open(self):
+        if self.conllu_reader._path.endswith(".gz"):
+            self._fileobj = gzip.open(self.conllu_reader._path, 'r')
+            self._nextline = self.read_byte_line
+        else:
             self._fileobj = open(self.conllu_reader._path, 'r')
+            self._nextline = self.read_str_line
+        
+    def read_str_line(self):
+        return self._fileobj.readline()
+    
+    def read_byte_line(self):
+        return self._fileobj.readline().decode("utf-8")
 
     def next_document(self):
         data = ""
         last_line_empty = False
         while True:
-            line = self._fileobj.readline()
+            line = self._nextline()
             if line == "":
                 break
             data += line

Tagging/conllu_generator.py

@@ -121,14 +121,17 @@ class ConlluSentence(object):
 
 
 class ConlluDocument(object):
-    def __init__(self):
+    def __init__(self, id=None):
         self.conllu_sentences = []
+        self.id = id
     
     def add(self, conllu_sentence: ConlluSentence):
         self.conllu_sentences.append(conllu_sentence)
     
     def __repr__(self):
         result = "# newdoc\n"
+        if self.id is not None:
+            result += "# id: " + self.id + "\n"
         for elem in self.conllu_sentences:
             result += elem.__repr__() + "\n"
 
@@ -139,7 +142,7 @@ class ConlluDocument(object):
 
 
 class ConlluGenerator(object):
-    def __init__(self, documents: list, stemmed_multi_word_tokens, stemmer=PorterStemmer()):
+    def __init__(self, documents: list, stemmed_multi_word_tokens, stemmer=PorterStemmer(), ids=None):
         self.documents = documents
         self.stemmed_multi_word_tokens = stemmed_multi_word_tokens
         self.mwe_tokenizer = StemmedMWETokenizer(
@@ -150,9 +153,12 @@ class ConlluGenerator(object):
 
         self.conllu_documents = []
 
+        self.ids = ids
+
     def tokenize_and_stem(self):
         tokenized_documents = []
 
+        i = 0
         for doc in self.documents:
             tokenized_sentences = []
             sentences = doc.split("\n")
@@ -165,6 +171,9 @@ class ConlluGenerator(object):
 
         # now create initial colln-u elemnts
         for doc in tokenized_documents:
+            if self.ids:
+                conllu_doc = ConlluDocument(self.ids[i])
+            else:
                 conllu_doc = ConlluDocument()
             self.id_counter = 0
             for sent in doc:
@@ -184,6 +193,7 @@ class ConlluGenerator(object):
                     self.id_counter += 1
                 conllu_doc.add(conllu_sent)
             self.conllu_documents.append(conllu_doc)
+            i += 1
 
     def pos_tagging(self):
         for conllu_document in self.conllu_documents:

Tagging/recipe_conllu_generator.py

@@ -36,7 +36,7 @@ buffered_reader_1M = JSON_br("../" + settings.one_million_recipes_file)
 
 # open savefile:
 
-def process_instructions(instructions: list):
+def process_instructions(instructions: list, document_ids=None):
 
     if len(instructions) == 0:
         return
@@ -44,7 +44,7 @@ def process_instructions(instructions: list):
     conllu_input_docs = instructions
 
     cg = ConlluGenerator(
-        conllu_input_docs, ingredients.multi_word_ingredients_stemmed)
+        conllu_input_docs, ingredients.multi_word_ingredients_stemmed, ids=document_ids)
     cg.tokenize_and_stem()
     cg.pos_tagging()
     cg.add_misc_value_by_list("food_type", "ingredient", [w.replace(" ","_") for w in ingredients.multi_word_ingredients_stemmed] + ingredients.ingredients_stemmed)
@@ -58,6 +58,7 @@ file_count = n_skipped_recipes // (recipe_buffer_size * recipe_buffers_per_file)
 
 savefile = open(f"recipes{file_count}.conllu", 'w')
 instructions = []
+ids = []
 
 for raw_recipe in buffered_reader_1M:
 
@@ -68,13 +69,15 @@ for raw_recipe in buffered_reader_1M:
         instruction = ""
         for item in raw_recipe['instructions']:
             instruction += item['text'] + '\n'
+        ids.append(raw_recipe['id'])
 
         instructions.append(instruction)
 
         if i % recipe_buffer_size == 0:
-            process_instructions(instructions)
+            process_instructions(instructions, ids)
             print(f"processed {i} recipes")
             instructions = []
+            ids = []
             buffer_count += 1
             if buffer_count % recipe_buffers_per_file == 0:
                 savefile.close()