import pychan

# pychan infers what type of object you're giving it. See the above table.
# Whether its a string pointing to a file/dict/dict in string format.

threadIndex     = pychan.FourChan("thread_index.json")
board           = pychan.FourChan("boards.json")
thread          = pychan.FourChan("thread.json")
threadList      = pychan.FourChan("thread_list.json")
archivedThread  = pychan.FourChan("archived_threads.json")
post            = thread.posts[0]

print(thread.posts[0].com)              # Get the first post and its comment

print(post)                             # If you're unsure of what fields to call
                                        # just print the object itself to see a list of key/values

# Or see the type of the unknown object
print(type(pychan.FourChan("unknown.json")))

print(thread.posts[0])
print(threadIndex.threads[0].posts[1])
print(board.trollflags.AC)
print(board.boards[0].title)
print(catalog.page[0].threads[0])
print(threadList.page[0].threads[0])
print(archivedThread[-1])

# To get individual key value/pairs
jdb = thread.posts[0].json              # Convert the Post object to a dictionary
for k,v in jdb.items():                 # Iterate through the key/value pairs
    print(k, v)

import pychan
fuukaThread = pychan.Fuuka("desu_thread.json")    # Specify the imageboard implementation

# Parallelism (multiprocessing) is turned on automatically if you supply more
# than one key/value pairs in a dictionary.
# You can override this behaviour by specifying the parallel field
# By using a dictionary, you can also output it to a file.
fthread1 = pychan.Fuuka({"desu_thread.json" : "out1.json"}, parallel = True)

# Which then you could read it as a normal 4chan json
fthread = pychan.FourChan("out1.json")

# We can also just use the outputed value from before
print(fthread1.posts[1])      # Note: fthread1 is the same as fthread and fuukaThread