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89 lines
3.4 KiB
Python
89 lines
3.4 KiB
Python
from __future__ import print_function
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from __future__ import unicode_literals
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from builtins import str, bytes, dict, int
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import os
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import sys
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
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from pattern.web import Facebook, NEWS, COMMENTS, LIKES
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from pattern.db import Datasheet, pprint, pd
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# The Facebook API can be used to search public status updates (no license needed).
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# It can also be used to get status updates, comments and persons that liked it,
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# from a given profile or product page.
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# This requires a personal license key.
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# If you are logged in to Facebook, you can get a license key here:
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# http://www.clips.ua.ac.be/pattern-facebook
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# (We don't / can't store your information).
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# 1) Searching for public status updates.
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# Search for all status updates that contain the word "horrible".
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try:
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# We'll store the status updates in a Datasheet.
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# A Datasheet is a table of rows and columns that can be exported as a CSV-file.
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# In the first column, we'll store a unique id for each status update.
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# We only want to add new status updates, i.e., those we haven't seen yet.
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# With an index on the first column we can quickly check if an id already exists.
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table = Datasheet.load(pd("opinions.csv"))
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index = set(table.columns[0])
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except:
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table = Datasheet()
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index = set()
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fb = Facebook()
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# With Facebook.search(cached=False), a "live" request is sent to Facebook:
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# we get the most recent results instead of those in the local cache.
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# Keeping a local cache can also be useful (e.g., while testing)
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# because a query is instant when it is executed the second time.
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for status in fb.search("horrible", count=25, cached=False):
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print("=" * 100)
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print(status.id)
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print(status.text)
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print(status.author) # Yields an (id, name)-tuple.
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print(status.date)
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print(status.likes)
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print(status.comments)
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print("")
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# Only add the tweet to the table if it doesn't already exists.
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if len(table) == 0 or status.id not in index:
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table.append([status.id, status.text])
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index.add(status.id)
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# Create a .csv in pattern/examples/01-web/
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table.save(pd("opinions.csv"))
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# 2) Status updates from specific profiles.
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# For this you need a personal license key:
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# http://www.clips.ua.ac.be/pattern-facebook
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license = ""
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if license != "":
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fb = Facebook(license)
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# Facebook.profile() returns a dictionary with author info.
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# By default, this is your own profile.
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# You can also supply the id of another profile,
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# or the name of a product page.
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me = fb.profile()["id"]
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for status in fb.search(me, type=NEWS, count=30, cached=False):
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print("-" * 100)
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print(status.id) # Status update unique id.
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print(status.title) # Status title (i.e., the id of the page or event given as URL).
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print(status.text) # Status update text.
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print(status.url) # Status update image, external link, ...
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if status.comments > 0:
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# Retrieve comments on the status update.
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print("%s comments:" % status.comments)
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print([(x.author, x.text, x.likes)
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for x in fb.search(status.id, type=COMMENTS)])
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if status.likes > 0:
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# Retrieve likes on the status update.
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print("%s likes:" % status.likes)
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print([x.author for x in fb.search(status.id, type=LIKES)])
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print("")
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