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Fixes #17 by adding configuration parameter for fingerprinting seconds, preserves this in FileRecognizer, and documents this in the README
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4 changed files with 42 additions and 6 deletions
30
README.md
30
README.md
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@ -70,6 +70,36 @@ You'll have a lot of fingerprints once it completes a large folder of mp3s:
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Also, any subsequent calls to `fingerprint_file` or `fingerprint_directory` will fingerprint and add those songs to the database as well. It's meant to simulate a system where as new songs are released, they are fingerprinted and added to the database seemlessly without stopping the system.
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## Configuration options
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The configuration object to the Dejavu constructor must be a dictionary.
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The following keys are mandatory:
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* `database`, with a value as a dictionary with keys that the database you are using will accept. For example with MySQL, the keys must can be anything that the [`MySQLdb.connect()`](http://mysql-python.sourceforge.net/MySQLdb.html) function will accept.
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The following keys are optional:
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* `fingerprint_limit`: allows you to control how many seconds of each audio file to fingerprint. Leaving out this key, or alternatively using `-1` and `None` will cause Dejavu to fingerprint the entire audio file. Default value is `None`.
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* `database_type`: as of now, only `mysql` (the default value) is supported. If you'd like to subclass `Database` and add another, please fork and send a pull request!
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An example configuration is as follows:
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```python
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>>> from dejavu import Dejavu
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>>> config = {
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... "database": {
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... "host": "127.0.0.1",
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... "user": "root",
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... "passwd": "Password123",
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... "db": "dejavu_db",
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... },
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... "database_type" : "mysql",
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... "fingerprint_limit" : 10
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... }
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>>> djv = Dejavu(config)
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```
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## Recognizing
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There are two ways to recognize audio using Dejavu. You can use Dejavu interactively through the terminal. Assuming you've already instantiated a Dejavu object, you can match audio through your computer's microphone:
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@ -17,6 +17,12 @@ class Dejavu(object):
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self.db = db_cls(**config.get("database", {}))
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self.db.setup()
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# if we should limit seconds fingerprinted,
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# None|-1 means use entire track
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self.limit = self.config.get("fingerprint_limit", None)
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if self.limit == -1: # for JSON compatibility
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self.limit = None
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# get songs previously indexed
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# TODO: should probably use a checksum of the file instead of filename
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self.songs = self.db.get_songs()
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@ -46,7 +52,7 @@ class Dejavu(object):
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continue
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result = pool.apply_async(_fingerprint_worker,
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(filename, self.db))
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(filename, self.db, self.limit))
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results.append(result)
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while len(results):
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@ -134,10 +140,10 @@ class Dejavu(object):
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return r.recognize(*options, **kwoptions)
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def _fingerprint_worker(filename, db):
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def _fingerprint_worker(filename, db, limit):
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song_name, extension = os.path.splitext(os.path.basename(filename))
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channels, Fs = decoder.read(filename)
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channels, Fs = decoder.read(filename, limit)
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# insert song into database
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sid = db.insert_song(song_name)
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@ -26,7 +26,7 @@ class FileRecognizer(BaseRecognizer):
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super(FileRecognizer, self).__init__(dejavu)
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def recognize_file(self, filename):
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frames, self.Fs = decoder.read(filename)
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frames, self.Fs = decoder.read(filename, self.dejavu.limit)
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t = time.time()
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match = self._recognize(*frames)
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4
go.py
4
go.py
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@ -10,7 +10,7 @@ with open("dejavu.cnf") as f:
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# create a Dejavu instance
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djv = Dejavu(config)
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# Fingerprint all the mp3's in the directory we give it
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djv.fingerprint_directory("va_us_top_40/mp3", [".mp3"])
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djv.fingerprint_directory("mp3", [".mp3"])
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# Recognize audio from a file
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from dejavu.recognize import FileRecognizer
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@ -23,4 +23,4 @@ song = djv.recognize(MicrophoneRecognizer, seconds=2)
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# Or use a recognizer without the shortcut, in anyway you would like
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from dejavu.recognize import FileRecognizer
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recognizer = FileRecognizer(djv)
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song = recognizer.recognize_file("va_us_top_40/wav/17_-_#Beautiful_-_Mariah_Carey_ft.wav")
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song = recognizer.recognize_file("mp3/sail.mp3")
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