Poetry start and demo of fuzzymatch

fuzzy_example.py

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+from rapidfuzz import process, fuzz
+
+# What your text found in a robot bbox - wont be exact match... 
+# this is what I get from the bottom right in example.jpg, excluding the scoreboard (I also get 9772)
+search_string = "180160"
+
+# Robots that are actually in the match (probably you get these from tba - https://github.com/TBA-API/tba-api-client-python)
+options = [
+    "8060",
+    "9772",
+    "4"
+]
+
+# Find the best match
+# This will return a list of tuples (match, score, index)
+matches = process.extractOne(
+    search_string,    # String to match
+    options,         # List of choices
+    scorer=fuzz.ratio  # Scoring function to use (try WRation too if you want)
+)
+
+print(f"Search string: {search_string}")
+print(f"Best match: {matches[0]}")  # The matched string
+print(f"Score: {matches[1]}")       # Score from 0-100
+print(f"Index: {matches[2]}")       # Index in the original list
+
+# You can also get all matches sorted by score
+all_matches = process.extract(
+    search_string,
+    options,
+    scorer=fuzz.ratio,
+    limit=None  # Return all matches
+)
+
+print("\nAll matches sorted by score:")
+for match, score, index in all_matches:
+    print(f"Match: {match}, Score: {score}, Index: {index}")
+
+# at this point you could pick the highest, as long as it is above a threshold
+MATCH_THRESHOLD = 60  # not sure where this needs to lie
+
+# Get the best match and check if it's above threshold
+best_match, best_score, best_index = matches
+
+if best_score >= MATCH_THRESHOLD:
+    print(f"\nFound reliable match: {best_match} (score: {best_score})")
+else:
+    print(f"\nNo reliable match found. Best candidate {best_match} with score {best_score} below threshold {MATCH_THRESHOLD}")