improve MW scraper

MW_thesaurus.py

@@ -1,6 +1,6 @@
 from itertools import chain
 
-from dict_dl import Queue, WordParser, ot, rb, uq, uqall
+from dict_dl import Queue, WordParser, ot, rb, uq, uqall, only_first_text
 
 
 class MWThesaurusParser(WordParser):
@@ -12,64 +12,39 @@ class MWThesaurusParser(WordParser):
     def thes(self):
         thes = {}
         for i in range(1, 10):
-            for entry in self.root.findall(f".//div[@id='thesaurus-entry-{i}']"):
+            for j in range(1, 10):
-                for se in chain(
+                for entry in self.root.findall(
-                    entry.findall(".//div[@class='sb no-sn']"),
+                    f".//div[@id='thesaurus-entry-{i}-{j}']"
-                    entry.findall(".//div[@class='sb has-num']"),
                 ):
-                    for e in se.findall(".//span[@class='dt']"):
+                    d = ""
-                        examples = [ot(li) for li in e.findall(".//li")]
+                    for e in entry.findall(".//span[@class='dt']"):
-                        for ul in e.findall(".//ul"):
+                        d = only_first_text(e)
-                            ul.clear()
+                    thes[d] = {}
-                        d = ot(e)
+                    for relev in [4, 3]:
-                        thes[d] = {"examples": examples}
+                        for e in entry.findall(
-                    thes[d]["synonyms"] = [
+                            f".//span[@class='thes-list sim-list-scored']//span[@class='lozenge color-{relev}']"
-                        ot(li)
+                        ):
-                        for li in se.findall(
+                            thes[d]["synonyms"] = thes[d].get("synonyms", []) + [ot(e)]
-                            ".//span[@class='thes-list syn-list']/div[@class='thes-list-content synonyms_list']//li//a"
+                    for relev in [2, 1]:
-                        )
+                        for e in entry.findall(
-                    ]
+                            f".//span[@class='thes-list sim-list-scored']//span[@class='lozenge color-{relev}']"
-                    thes[d]["synonyms"].extend([
+                        ):
-                        ot(li)
+                            thes[d]["near synonyms"] = thes[d].get(
-                        for li in se.findall(
+                                "near synonyms", []
-                            ".//span[@class='thes-list phrase-list']/div[@class='thes-list-content synonyms_list']//li//a"
+                            ) + [ot(e)]
-                        )
-                    ])
-                    thes[d]["near synonyms"] = [
-                        ot(li)
-                        for li in se.findall(
-                            ".//span[@class='thes-list rel-list']/div[@class='thes-list-content synonyms_list']//li//a"
-                        )
-                    ]
-                    thes[d]["near synonyms"].extend(
-                        [
-                            ot(li)
-                            for li in se.findall(
-                                ".//span[@class='thes-list sim-list']/div[@class='thes-list-content synonyms_list']//li//a"
-                            )
-                        ]
-                    )
-                    thes[d]["near antonyms"] = [
-                        ot(li)
-                        for li in se.findall(
-                            ".//span[@class='thes-list near-list']/div[@class='thes-list-content synonyms_list']//li//a"
-                        )
-                    ]
-                    thes[d]["near antonyms"].extend(
-                        [
-                            ot(li)
-                            for li in se.findall(
-                                ".//span[@class='thes-list opp-list']/div[@class='thes-list-content synonyms_list']//li//a"
-                            )
-                        ]
-                    )
-                    thes[d]["antonyms"] = [
-                        ot(li)
-                        for li in se.findall(
-                            ".//span[@class='thes-list ant-list']/div[@class='thes-list-content synonyms_list']//li//a"
-                        )
-                    ]
 
+                    for relev in [4, 3]:
+                        for e in entry.findall(
+                            f".//span[@class='thes-list opp-list-scored']//span[@class='lozenge color-{relev}']"
+                        ):
+                            thes[d]["antonyms"] = thes[d].get("antonyms", []) + [ot(e)]
+                    for relev in [2, 1]:
+                        for e in entry.findall(
+                            f".//span[@class='thes-list opp-list-scored']//span[@class='lozenge color-{relev}']"
+                        ):
+                            thes[d]["near antonyms"] = thes[d].get(
+                                "near antonyms", []
+                            ) + [ot(e)]
         return thes
 
     @property
@@ -92,13 +67,15 @@ class MWThesaurusParser(WordParser):
         assert (
             self.type or self.thes
         ), f"{self.time} {self.word}: type or definitions came back empty..."
-        return uqall({self.word: self.thes | {"type": self.type}})
+        return uqall(
+            {self.word: self.thes} | {"type": self.type, "time_of_retrieval": self.time}
+        )
 
 
-w = MWThesaurusParser("augur")
+# w = MWThesaurusParser("content")
 # print(w.neighbours)
-print(w.todict())
+# print(w.todict())
-exit()
+# exit()
 
 q = Queue(MWThesaurusParser, "en_MWThesaurus/", "_MWT.json")
 q.loadDB()

analysis.py

@@ -1,12 +1,25 @@
+from dict_dl import FullDictionary
+
 # import matplotlib.pyplot as plt
 # from PIL import Image
 # from wordcloud import STOPWORDS, WordCloud
 
-d = FullDictionary("en_merriam_webster/", "_mw.json")
+d = FullDictionary("en_MerriamWebster/", "_MW.json")
 # d = Dictionary("en_MW_thesaurus/", "_mwt.json")
 # d = Dictionary("de_duden/", "_duden.json")
 print(f"{d.readtime:.06f}")
 
+print(
+    sorted(
+        [
+            k
+            for k in d
+            if not any([c in ["a", "e", "i", "o", "u", "_"] for c in k.lower()])
+            and len(k) > 2
+            and k[-1] not in string.ascii_uppercase
+        ]
+    )
+)
 # print([k for k in d if not all([c in string.ascii_letters for c in k])])
 print([k for k in d if "?" in k])
 exit()

dict_dl.py

@@ -122,8 +122,8 @@ def url2str(url: str, clean=True) -> str:
     xml_str = re.sub(r"<>", "-->", xml_str)
     xml_str = remove_tag(xml_str, "head")
     # xml_str = remove_tag(xml_str)
-    with open("test.html", "w") as f:
+    # with open("test.html", "w") as f:
-        f.write(xml_str)
+    #     f.write(xml_str)
     return xml_str
 
 

duden.py

@@ -96,10 +96,10 @@ class DudenParser(WordParser):
         )
 
 
-# d = DudenParser("hinfallen")
+d = DudenParser("hineintauchen")
-# print(d.neighbours)
+print(d.neighbours)
-# print(d.todict())
+print(d.todict())
-# exit()
+exit()
 
 q = Queue(DudenParser, "de_Duden/", "_D.json")
 q.loadDB()

main.py

@@ -80,7 +80,7 @@ def phrases(n: int = 4, nouns: int = 1, adjs: int = 2, pw: bool = False):
         if pw:
             # ps = [ "".join(p)[:-1] for p in [ [word + char for word, char in zip(p, [random_char() for w in p])] for p in phrases ] ]
             ps = [
-                "".join([w.capitalize() for i,w in enumerate(p) if i > 0])
+                "".join([w.capitalize() if i > 0 else w for i, w in enumerate(p)])
                 + random_char()
                 + f"{random.randint(0,999):03d}"
                 for p in phrases

mw_scraper.py

@@ -39,11 +39,6 @@ class Pronunciation(SQLModel, table=True):
 
 
 engine = create_engine(db_pass)
-SQLModel.metadata.create_all(engine)
-
-html_session = HTMLSession()
-
-QUEUE = {line.strip() for line in open("queue.db", "rt")}
 
 
 def add_word(word):
@@ -78,6 +73,7 @@ def add_word(word):
                 .where(Sense.word == _word)
                 .where(Sense.word_class == _class)
             ).one_or_none()
+
             if results:
                 sense = results
             else:
@@ -97,14 +93,26 @@ def add_word(word):
                     for sents in dt.find("span.sents"):
                         _example.append(sents.text)
                     _examples.append("; ".join(_example))
+
+                _final_description = "; ".join(_desc)
+                results = session.exec(
+                    select(Description).where(
+                        Description.word == word.word,
+                        Description.description == _final_description,
+                    )
+                ).one_or_none()
+                if results:
+                    continue
+                else:
                     session.add(
                         Description(
                             word=word.word,
                             sense_id=sense.id,
-                        description="; ".join(_desc),
+                            description=_final_description,
                             examples=_examples,
                         )
                     )
+
             for pron in c.find(
                 "span.prons-entries-list-inline div.prons-entry-list-item,a.prons-entry-list-item"
             ):
@@ -117,16 +125,26 @@ def add_word(word):
     return links
 
 
-def present():
+def presently_available():
     with Session(engine) as session:
         return session.exec(select(Word.word)).unique()
 
 
+if __name__ == "__main__":
+    SQLModel.metadata.create_all(engine)
+    html_session = HTMLSession()
+
+    QUEUE = {line.strip() for line in open("queue.db", "rt")}
+
     while True:
         try:
-        QUEUE |= add_word(random.choice(list(QUEUE)))
+            if len(QUEUE) < 20:
-        QUEUE -= set(present())
+                exit()
-        print(len(QUEUE))
+            next_word = random.choice(list(QUEUE))
+            already_present = set(presently_available())
+            print(next_word, len(QUEUE), len(already_present))
+            QUEUE |= add_word(next_word)
+            QUEUE -= already_present | {next_word}
             sleep(random.random() * 5)
         except KeyboardInterrupt:
             with open("queue.db", "wt") as f:

t.py

@@ -1,25 +1,60 @@
 #!/bin/python
+"""search the Merriam Webster Thesaurus with ease"""
+import argparse
 import os
-import sys
 from itertools import zip_longest
 
 from rich.console import Console
 from rich.table import Table
 
 from dict_dl import DictFile
+import string
 
-if len(sys.argv) < 2:
+letters = string.ascii_lowercase
-    query = next(sys.stdin).strip()
+prefix_length = 3
-else:
+unusual = (
-    query = sys.argv[1].strip()
+    lambda prefix: not all([c in letters for c in prefix.lower()])
-prefix = query[:3]
+    or len(prefix) < prefix_length
+)
 
+parser = argparse.ArgumentParser(description="Merriam Webster Thesaurus")
+parser.add_argument("-p", "--preview", action="store_true", help="FZF preview")
+parser.add_argument("query", type=str, help="query")
+
+args = parser.parse_args()
+prefix = args.query[:prefix_length].lower()
+
+if unusual(prefix):
+    prefix = "_" * prefix_length
 d = DictFile(os.path.expandvars(f"$DICT_DL/en_MWThesaurus/{prefix}_MWT.json"))
 
-print(f"||||||||{query}||||||||")
+if args.preview:
+    for k, v in d[args.query].items():
+        if k == "type":
+            word_type = k
+        else:
+            syns = v["synonyms"]
+            nsyns = v["related" if "related" in v else "near synonyms"]
+            nants = v["near antonyms"]
+            ants = v["antonyms"]
+            print(f"> {k}")
+            if syns:
+                print("  SYNONYMS\n  ", ", ".join(syns))
+            if nsyns:
+                print("  NEAR SYNONYMS\n  ", ", ".join(nsyns))
+            if nants:
+                print("  NEAR ANTONYMS\n  ", ", ".join(nants))
+            if ants:
+                print("  ANTONYMS\n  ", ", ".join(ants))
         print()
-for k, v in d[query].items():
+    exit()
-    if k != "type":
+
+print(f"||||||||{args.query}||||||||")
+print()
+for k, v in d[args.query].items():
+    if k == "type":
+        word_type = k
+    else:
         table = Table(title=k)
         table.add_column("synonyms", justify="center", style="cyan", no_wrap=True)
         table.add_column("near synonyms", justify="center", style="cyan", no_wrap=True)