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-rw-r--r--pandoc.cabal4
-rw-r--r--tests/Tests/Readers/Docx.hs59
-rw-r--r--tests/docx.image.docxbin109656 -> 36942 bytes
-rw-r--r--tests/docx.image.mediabag.json1
-rw-r--r--tests/docx.image1.jpegbin46626 -> 0 bytes
-rw-r--r--tests/docx.image_no_embed.native4
6 files changed, 45 insertions, 23 deletions
diff --git a/pandoc.cabal b/pandoc.cabal
index 47bdb6587..1c74933ab 100644
--- a/pandoc.cabal
+++ b/pandoc.cabal
@@ -386,7 +386,6 @@ Test-Suite test-pandoc
syb >= 0.1 && < 0.5,
pandoc,
pandoc-types >= 1.12.3.3 && < 1.13,
- base64-bytestring >= 0.1 && < 1.1,
bytestring >= 0.9 && < 0.11,
text >= 0.11 && < 1.2,
directory >= 1 && < 1.3,
@@ -400,7 +399,8 @@ Test-Suite test-pandoc
QuickCheck >= 2.4 && < 2.8,
HUnit >= 1.2 && < 1.3,
containers >= 0.1 && < 0.6,
- ansi-terminal >= 0.5 && < 0.7
+ ansi-terminal >= 0.5 && < 0.7,
+ zip-archive >= 0.2.3.2 && < 0.3
Other-Modules: Tests.Old
Tests.Helpers
Tests.Arbitrary
diff --git a/tests/Tests/Readers/Docx.hs b/tests/Tests/Readers/Docx.hs
index 85a02debd..efc520dba 100644
--- a/tests/Tests/Readers/Docx.hs
+++ b/tests/Tests/Readers/Docx.hs
@@ -5,14 +5,15 @@ import Text.Pandoc.Readers.Native
import Text.Pandoc.Definition
import Tests.Helpers
import Test.Framework
-import qualified Data.ByteString as BS
+import Test.HUnit (assertBool)
+import Test.Framework.Providers.HUnit
import qualified Data.ByteString.Lazy as B
-import qualified Data.ByteString.Char8 as B8
-import qualified Data.ByteString.Base64 as B64
import Text.Pandoc.Readers.Docx
import Text.Pandoc.Writers.Native (writeNative)
import qualified Data.Map as M
-import Text.Pandoc.MediaBag (lookupMedia)
+import Text.Pandoc.MediaBag (MediaBag, lookupMedia, mediaDirectory)
+import Codec.Archive.Zip
+import System.FilePath (combine)
-- We define a wrapper around pandoc that doesn't normalize in the
-- tests. Since we do our own normalization, we want to make sure
@@ -56,22 +57,44 @@ testCompareWithOpts opts name docxFile nativeFile =
testCompare :: String -> FilePath -> FilePath -> Test
testCompare = testCompareWithOpts def
-testCompareMediaIO :: String -> FilePath -> FilePath -> FilePath -> IO Test
-testCompareMediaIO name docxFile mediaPath mediaFile = do
+getMedia :: FilePath -> FilePath -> IO (Maybe B.ByteString)
+getMedia archivePath mediaPath = do
+ zf <- B.readFile archivePath >>= return . toArchive
+ return $ findEntryByPath (combine "word" mediaPath) zf >>= (Just . fromEntry)
+
+compareMediaPathIO :: FilePath -> MediaBag -> FilePath -> IO Bool
+compareMediaPathIO mediaPath mediaBag docxPath = do
+ docxMedia <- getMedia docxPath mediaPath
+ let mbBS = case lookupMedia mediaPath mediaBag of
+ Just (_, bs) -> bs
+ Nothing -> error ("couldn't find " ++
+ mediaPath ++
+ " in media bag")
+ docxBS = case docxMedia of
+ Just bs -> bs
+ Nothing -> error ("couldn't find " ++
+ mediaPath ++
+ " in media bag")
+ return $ mbBS == docxBS
+
+compareMediaBagIO :: FilePath -> IO Bool
+compareMediaBagIO docxFile = do
df <- B.readFile docxFile
- mf <- B.readFile mediaFile
let (_, mb) = readDocx def df
- dBytes = case lookupMedia mediaPath mb of
- Just (_,bs) -> bs
- Nothing -> error "Media file not found"
- d64 = B8.unpack $ B64.encode $ BS.concat $ B.toChunks dBytes
- m64 = B8.unpack $ B64.encode $ BS.concat $ B.toChunks mf
- return $ test id name (d64, m64)
+ bools <- mapM
+ (\(fp, _, _) -> compareMediaPathIO fp mb docxFile)
+ (mediaDirectory mb)
+ return $ and bools
-testCompareMedia :: String -> FilePath -> FilePath -> FilePath -> Test
-testCompareMedia name docxFile mediaPath mediaFile =
- buildTest $ testCompareMediaIO name docxFile mediaPath mediaFile
+testMediaBagIO :: String -> FilePath -> IO Test
+testMediaBagIO name docxFile = do
+ outcome <- compareMediaBagIO docxFile
+ return $ testCase name (assertBool
+ ("Media didn't match media bag in file " ++ docxFile)
+ outcome)
+testMediaBag :: String -> FilePath -> Test
+testMediaBag name docxFile = buildTest $ testMediaBagIO name docxFile
tests :: [Test]
tests = [ testGroup "inlines"
@@ -186,11 +209,9 @@ tests = [ testGroup "inlines"
"docx.track_changes_deletion_all.native"
]
, testGroup "media"
- [ testCompareMedia
+ [ testMediaBag
"image extraction"
"docx.image.docx"
- "media/image1.jpeg"
- "docx.image1.jpeg"
]
, testGroup "metadata"
[ testCompareWithOpts def{readerStandalone=True}
diff --git a/tests/docx.image.docx b/tests/docx.image.docx
index 060f2b204..06e4efd1a 100644
--- a/tests/docx.image.docx
+++ b/tests/docx.image.docx
Binary files differ
diff --git a/tests/docx.image.mediabag.json b/tests/docx.image.mediabag.json
new file mode 100644
index 000000000..e6f523211
--- /dev/null
+++ b/tests/docx.image.mediabag.json
@@ -0,0 +1 @@
+{"media/image1.jpg": "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"} \ No newline at end of file
diff --git a/tests/docx.image1.jpeg b/tests/docx.image1.jpeg
deleted file mode 100644
index 423dff48b..000000000
--- a/tests/docx.image1.jpeg
+++ /dev/null
Binary files differ
diff --git a/tests/docx.image_no_embed.native b/tests/docx.image_no_embed.native
index aa0f65d27..95c73610e 100644
--- a/tests/docx.image_no_embed.native
+++ b/tests/docx.image_no_embed.native
@@ -1,2 +1,2 @@
-[Header 2 ("an-image",[],[]) [Str "An",Space,Str "image"]
-,Para [Image [] ("media/image1.jpeg","")]]
+[Para [Str "An",Space,Str "image:"]
+,Para [Image [] ("media/image1.jpg","")]]